cba-on-trust-models-for-IoT-systems

git clone git://git.codymlewis.com/cba-on-trust-models-for-IoT-systems.git
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commit 4a1858a9fd5324c6176771ebefb3b41d942cfe7d
Author: Cody Lewis <cody@codymlewis.com>
Date:   Wed, 18 Mar 2020 17:43:31 +1100

Initial commit

Diffstat:
Acbstm-iot/DESCRIPTION | 19+++++++++++++++++++
Acbstm-iot/LICENSE | 21+++++++++++++++++++++
Acbstm-iot/Makefile | 42++++++++++++++++++++++++++++++++++++++++++
Acbstm-iot/NAMESPACE | 3+++
Acbstm-iot/R/Functions.R | 33+++++++++++++++++++++++++++++++++
Acbstm-iot/R/TrustModel.R | 424+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Acbstm-iot/README.md | 20++++++++++++++++++++
Acbstm-iot/Simulation.R | 10++++++++++
Acbstm-iot/doc/CBSTM-IoT.bib | 16++++++++++++++++
Acbstm-iot/doc/CBSTM-IoT.pdf | 0
Acbstm-iot/doc/CBSTM-IoT.tex | 136+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Acbstm-iot/doc/makefile | 13+++++++++++++
Ali-19/BatchSimulation.R | 10++++++++++
Ali-19/DESCRIPTION | 39+++++++++++++++++++++++++++++++++++++++
Ali-19/GUI.R | 9+++++++++
Ali-19/LICENSE | 21+++++++++++++++++++++
Ali-19/Makefile | 53+++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/NAMESPACE | 5+++++
Ali-19/Playground.R | 58++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Adversaries.R | 52++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/BaseStation.R | 87+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Device.R | 810+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Field.R | 134+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Functions.R | 45+++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Globals.R | 16++++++++++++++++
Ali-19/R/Normalizers.R | 37+++++++++++++++++++++++++++++++++++++
Ali-19/R/Observation.R | 17+++++++++++++++++
Ali-19/R/Observer.R | 39+++++++++++++++++++++++++++++++++++++++
Ali-19/R/Params.R | 129+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/ServiceProvider.R | 29+++++++++++++++++++++++++++++
Ali-19/R/Simulation.R | 744+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/Tile.R | 73+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/TrustModel.R | 260+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/R/li19trustmodel-package.R.bak | 11+++++++++++
Ali-19/README.md | 51+++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/Simulation.R | 10++++++++++
Ali-19/all_context.gif | 0
Ali-19/config/pre-push.sh | 3+++
Ali-19/inst/extdata/map.csv | 500+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/inst/extdata/params.json | 45+++++++++++++++++++++++++++++++++++++++++++++
Ali-19/man/batch_simulation.Rd | 24++++++++++++++++++++++++
Ali-19/man/run_gui.Rd | 19+++++++++++++++++++
Ali-19/man/run_simulation.Rd | 22++++++++++++++++++++++
Ali-19/map.gif | 0
Ali-19/mapgif | 5+++++
Ali-19/public/index.html | 162+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/public/li19trustmodel.pdf | 0
Ali-19/sum_context.gif | 0
Ali-19/tests/testthat.R | 4++++
Ali-19/tests/testthat/test-basestation.R | 36++++++++++++++++++++++++++++++++++++
Ali-19/tests/testthat/test-calculations.R | 182+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/tests/testthat/test-device.R | 93+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/tests/testthat/test-field.R | 11+++++++++++
Ali-19/tests/testthat/test-functions.R | 10++++++++++
Ali-19/tests/testthat/test-normalizers.R | 51+++++++++++++++++++++++++++++++++++++++++++++++++++
Ali-19/tests/testthat/test-observation.R | 9+++++++++
Ali-19/tests/testthat/test-serviceprovider.R | 4++++
Ali-19/tests/testthat/test-tile.R | 28++++++++++++++++++++++++++++
Ali-19/wam.R | 50++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/Distances_with_restrictons.png | 0
Asaied-13/Distances_without_restrictons.png | 0
Asaied-13/LICENSE | 21+++++++++++++++++++++
Asaied-13/PlotDist.py | 60++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/PlotQR.py | 40++++++++++++++++++++++++++++++++++++++++
Asaied-13/README.md | 17+++++++++++++++++
Asaied-13/requirements.r | 8++++++++
Asaied-13/src/ConsoleInterface.r | 240+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/Functions.r | 49+++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/Node.r | 288+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/Plots.r | 262+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/Report.r | 106+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/ReputationEffects/ConsoleInterface.r | 76++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/ReputationEffects/README.md | 12++++++++++++
Asaied-13/src/ReputationEffects/ReputationQR.r | 150+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/ReputationEffects/WebServer.r | 183+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/ReputationEffects/requirements.r | 9+++++++++
Asaied-13/src/RunAttacks.sh | 11+++++++++++
Asaied-13/src/Tests.r | 78++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Asaied-13/src/TrustModel.r | 397+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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diff --git a/cbstm-iot/DESCRIPTION b/cbstm-iot/DESCRIPTION @@ -0,0 +1,19 @@ +Package: CBSTMIoT +Title: Simulate The CBSTM IoT Trust Model +Version: 0.0.1.9000 +Authors@R: + person(given = "Cody", + family = "Lewis", + role = c("aut", "cre"), + email = "codymlewis@protonmail.com") +Description: Simulate the CBSTM IoT trust model. +Imports: + ggplot2, + R6 +License: MIT +Encoding: UTF-8 +LazyData: true +RoxygenNote: 7.0.1 +Collate: + 'Functions.R' + 'TrustModel.R' diff --git a/cbstm-iot/LICENSE b/cbstm-iot/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020 Cody Lewis + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/cbstm-iot/Makefile b/cbstm-iot/Makefile @@ -0,0 +1,42 @@ +PKGNAME := $(shell sed -n "s/Package: *\([^ ]*\)/\1/p" DESCRIPTION) +PKGVERS := $(shell sed -n "s/Version: *\([^ ]*\)/\1/p" DESCRIPTION) +PKGSRC := $(shell basename `pwd`) + +all: clean docs build install + +deps: + R -e "\ + r = getOption('repos'); \ + r['CRAN'] = 'https://cran.csiro.au/'; \ + options(repos = r); \ + rm(r); \ + if (!require(devtools)) { \ + install.packages('devtools'); \ + };\ + install.packages(c('ggplot2', 'styler', 'R6'), dependencies=TRUE)" + +check: + R -e "devtools::check()" + +docs: + R -e "devtools::document()" + +build: + R -e "devtools::build()" + +style: + R -e "styler::style_pkg(indent_by=4)" + +ref: + R CMD Rd2pdf . + +gif: + ./mapgif + +install: + R -e "devtools::install()" + +clean: + $(RM) -r images;\ + cd ..;\ + $(RM) -r $(PKGNAME).Rcheck/ diff --git a/cbstm-iot/NAMESPACE b/cbstm-iot/NAMESPACE @@ -0,0 +1,3 @@ +# Generated by roxygen2: do not edit by hand + +export(run_sim) diff --git a/cbstm-iot/R/Functions.R b/cbstm-iot/R/Functions.R @@ -0,0 +1,33 @@ +#!/usr/bin/env Rscript + + +# Create a progress bar +cat_progress <- function(current, total, progress_len = 31, prefix = "", postfix = "") { + progress <- floor(100 * current / total) + progress_bar_progress <- floor(progress_len * progress * 0.01) + + if (progress_bar_progress != 0) { + unprogressed <- progress_len - progress_bar_progress + } else { + unprogressed <- progress_len - 1 + } + + progress_bar <- "[" + progress_bar <- paste( + c( + progress_bar, + `if`( + progress_bar_progress - 2 > 0, + rep("█", progress_bar_progress - 2), + "" + ) + ), + collapse = "" + ) + + progress_bar <- paste(c(progress_bar, rep(" ", unprogressed), "]"), collapse = "") + progress_percent <- paste(c(progress, "%"), collapse = "") + postfix <- paste(c(postfix, `if`(progress == 100, "\n", "")), collapse = "") + + cat(sprintf("\r%s %s %s %s", prefix, progress_bar, progress_percent, postfix)) +} diff --git a/cbstm-iot/R/TrustModel.R b/cbstm-iot/R/TrustModel.R @@ -0,0 +1,424 @@ +#' @include Functions.R +NULL + +Params <- R6::R6Class( + "Params", + list( + w = c(0.25, 0.25, 0.25, 0.25), + wh = 0.50, + wd = 0.50, + MD = 0.1, + R = 0.5, + CP = 1, # Maximum computing power + fb_max = 10, + frlow = 30, + frhigh = 70, + num_nodes = 100, + num_adversaries = 0, + num_contexts = 10, + nodes_per_owner = 7, + target = 8, + observer = 1, + target_context = 3, + + initialize = function() { + self$num_adversaries <- floor( + self$num_nodes / c(self$num_nodes + 1, 5, 2, 1.25, 1) + ) + }, + + set_frvals = function(frlow, frhigh) { + self$frlow <- frlow + self$frhigh <- frhigh + } + ) +) + + +params <- Params$new() + + +Node <- R6::R6Class( + "Node", + list( + id = 0, + DT = NULL, + Z = NULL, + Tr = NULL, + owner = 0, + RT = NULL, + friends = NULL, + context_potential = round(runif(1, min = 1, params$num_contexts)), + other_node_ids = NULL, + attack_context = 0, # Context to perform attacks on, 0 means no attacks + + initialize = function(owner, id) { + self$owner <- owner + self$id <- id + self$other_node_ids <- setdiff(seq_len(params$num_nodes), self$id) + self$set_vals() + }, + + set_vals = function() { + self$DT <- matrix( + rep(rep(params$R, params$num_contexts), params$num_nodes), + ncol = params$num_contexts, + byrow = TRUE + ) + self$Z <- matrix( + rep(rep(params$R, params$num_contexts), params$num_nodes), + ncol = params$num_contexts, + byrow = TRUE + ) + self$Tr <- matrix( + rep(rep(0, params$num_contexts), params$num_nodes), + ncol = params$num_contexts, + byrow = TRUE + ) + self$RT <- array( # [i, k, c] + rep( + rep( + rep( + params$R, params$num_contexts + ), + params$num_nodes + ), + params$num_nodes + ), + dim = c(params$num_nodes, params$num_nodes, params$num_contexts) + ) + }, + + mutate_cp = function(context_potential) { + self$context_potential <- context_potential + }, + + make_adversary = function(attack_context) { + self$attack_context <- attack_context + }, + + make_friend = function(friend) { + self$add_friend(friend$id) + friend$add_friend(self$id) + }, + + add_friend = function(i) { + self$friends <- union(self$friends, i) + }, + + calc_T = function(i, context, nodes) { + DT <- self$calc_DT(i) + IndT <- self$calc_IndT(i, context, nodes) + alpha <- `if`( + (DT + IndT) > 0 && (DT + IndT) <= 1, + DT / (DT + IndT), + `if`(DT + IndT > 1, 1, 0) + ) + beta <- 1 - alpha + return(alpha * DT + beta * IndT) + }, + + calc_DT = function(i) { + return(sum(self$DT[i, ] * self$calc_WW(i))) + }, + + calc_WW = function(i) { + norm_Tr <- self$Tr[i, ] / sum(self$Tr[i, ]) + return(ifelse(is.nan(norm_Tr), 0, norm_Tr)) + }, + + calc_IndT = function(i, context, nodes) { + return( + sum( + self$RT[i, self$other_node_ids, context] * + self$calc_X(i, context, nodes) + ) / + length(self$RT[i, self$other_node_ids, context]) + ) + }, + + calc_X = function(i, context, nodes) { + return( + params$w[[1]] * self$Z[self$other_node_ids, context] + + params$w[[2]] * self$calc_OT(nodes) + + params$w[[3]] * (1 - params$CP) + + params$w[[4]] * self$calc_R(nodes) + ) + }, + + calc_OT = function(nodes) { + return( + params$wh * self$calc_H(nodes) + params$wd * self$calc_D(nodes) + ) + }, + + calc_H = function(nodes) { + return( + sapply( + self$other_node_ids, + function(i) { + calc_H(length(nodes[[i]]$friends)) + } + ) + ) + }, + + calc_D = function(nodes) { + af_i <- length(self$friends) + return( + sapply( + self$other_node_ids, + function(i) { + cf <- length( + intersect(self$friends, nodes[[i]]$friends) + ) + return(cf / (af_i + length(nodes[[i]]$friends) - cf)) + } + ) + ) + }, + + calc_R = function(nodes) { + return( + sapply( + self$other_node_ids, + function(i) { + return( + calc_R(`if`(nodes[[i]]$owner == self$owner, 0, 1)) + ) + } + ) + ) + }, + + transaction = function(nodes, context) { + self$Tr[params$target, context] <- self$Tr[params$target, context] + 1 + fb <- `if`( + nodes[[params$target]]$perform_transaction(context), + runif(1, min = 1, max = 10), + runif(1, min = -10, max = 0) + ) + self$update_DT(params$target, context, fb) + for (k in self$other_node_ids) { + self$update_Z(params$target, k, context, fb) + nodes[[k]]$get_rec( + params$target, + self$id, + `if`(self$attack_context > 0, self$attack_context, context), + `if`( + self$attack_context > 0, + 0, + self$DT[params$target, context] + ) + ) + } + invisible(self) + }, + + get_rec = function(i, k, context, RT) { + self$RT[i, k, context] <- RT + invisible(self) + }, + + perform_transaction = function(context) { + return(context <= self$context_potential) + }, + + update_DT = function(i, context, fb) { + self$DT[i, context] <- min( + 1, + max( + 0, + self$DT[i, context] + (fb / (params$fb_max / params$MD))) + ) + invisible(self) + }, + + update_Z = function(i, k, context, fb) { + delta_z <- fb / (params$fb_max / params$MD) + self$Z[k, context] <- self$Z[k, context] + + `if`(self$RT[i, k, context] >= 0.5, delta_z, -delta_z) + invisible(self) + } + ) +) + + +calc_H <- function(fr) { + `if`( + fr > params$frhigh, + 1, + `if`( + fr < params$frlow, + 0, + 0.5 + ) + ) +} + + +calc_R <- function(n) { + 1 / (2^n) +} + + +assign_friends <- function(nodes) { + for (node in nodes) { + if (node$id < params$num_nodes) { + if (node$id == params$num_nodes - 1) { + friend_ids <- `if`(round(runif(1)), params$num_nodes, NULL) + } else { + friend_ids <- sample( + setdiff((node$id + 1):params$num_nodes, node$id), + max( + 1, + min( + params$num_nodes - node$id, + round( + rnorm( + 1, + mean = (params$num_nodes - node$id) / 2, + sd = (7 / 10) * (params$num_nodes - node$id) + ) + ) + ) + ) + ) + } + for (i in friend_ids) { + node$make_friend(nodes[[i]]) + } + } + } + friend_counts <- sapply( + nodes, + function(node) { + return(length(node$friends)) + } + ) + fr_sd <- sd(friend_counts) + params$set_frvals(round(fr_sd), round(mean(friend_counts) + fr_sd)) +} + +perform_transactions <- function(num_trans, nodes) { + trust_vals <- NULL + cat_progress( + 0, num_trans, prefix = sprintf("Transaction %d/%d", 0, num_trans) + ) + for (i in seq_len(num_trans)) { + for (node in nodes) { + if (node$id != params$observer) { + node$transaction( + nodes, + round(runif(1, min = 1, max = params$num_contexts)) + ) + } + } + trust_vals <- c( + trust_vals, + nodes[[params$observer]]$calc_T( + params$target, params$target_context, nodes + ) + ) + cat_progress( + i, num_trans, prefix = sprintf("Transaction %d/%d", i, num_trans) + ) + } + return(data.frame(trusts = trust_vals, transactions = seq_len(num_trans))) +} + + +#' Run the simulation +#' +#' Simulation the trust model for the number of transactions +#' @keywords trust model simulation run +#' @export run_sim + +run_sim <- function(num_trans) { + nodes <- lapply( + seq_len(params$num_nodes), + function(i) { + Node$new(ceiling(i / params$nodes_per_owner), i) + } + ) + assign_friends(nodes) + nodes[[params$target]]$mutate_cp(10) + trust_vals <- list() + for (num_adv in params$num_adversaries) { + for (i in seq_len(num_adv)) { + nodes[[params$num_nodes + 1 - i]]$make_adversary( + params$target_context + ) + } + for (node in nodes) { + node$set_vals() + } + cat( + sprintf( + "Performing %d transactions with %d%% adversaries...\n", + num_trans, + num_adv / params$num_nodes * 100 + ) + ) + trust_vals[[sprintf("%d", num_adv)]] <- perform_transactions( + num_trans, + nodes + ) + } + create_plot(trust_vals) +} + + +create_plot <- function(trust_vals) { + names(trust_vals) <- sprintf( + "%d%%%s", + params$num_adversaries / params$num_nodes * 100, + ifelse( + params$num_adversaries / params$num_nodes * 100 == 100, + " Adversaries", + "" + ) + ) + data <- reshape2::melt(trust_vals, id.vars = "transactions") + data$L1 <- factor( + data$L1, + levels = stringr::str_sort(levels(as.factor(data$L1)), numeric = TRUE) + ) + filename <- sprintf( + "%d-trust-eval-on-%d-in-context-%d.png", + params$observer, + params$target, + params$target_context + ) + colors <- c("blue", "red", "green", "orange", "purple") + shapes <- c(15, 17, 18, 19, 20) + ggplot2::ggplot( + data = data, + ggplot2::aes( + x = transactions, + y = value, + color = as.factor(L1), + shape = as.factor(L1) + ) + ) + + ggplot2::geom_line() + + ggplot2::geom_point() + + ggplot2::labs( + x = "Transactions", + y = "Trust value", + colour = NULL, + shape = NULL + ) + + ggplot2::scale_y_continuous(limits = c(-0.05, 1.05)) + + ggplot2::scale_color_manual(values = colors) + + ggplot2::scale_shape_manual(values = shapes) + + ggplot2::theme(legend.position = "bottom") + ggplot2::ggsave( + file = filename, + width = 7, + height = 7, + dpi = 320, + type = "cairo" + ) + cat(sprintf("Saved plot of trust to %s\n", filename)) +} diff --git a/cbstm-iot/README.md b/cbstm-iot/README.md @@ -0,0 +1,20 @@ +# CBSTM IoT + +A simulator of the trust mode proposed in CBSTM-IoT: Context-based +Social Trust Model for The Internet of Things + +## Requirements + +- R +- make + +## Set-up +``` +make deps +make all +``` + +## Running +``` +./Simulation.R +``` diff --git a/cbstm-iot/Simulation.R b/cbstm-iot/Simulation.R @@ -0,0 +1,10 @@ +#!/usr/bin/env Rscript + +library(CBSTMIoT) + +main <- function() { + run_sim(100) + quit("no") +} + +main() diff --git a/cbstm-iot/doc/CBSTM-IoT.bib b/cbstm-iot/doc/CBSTM-IoT.bib @@ -0,0 +1,16 @@ +@inproceedings{rafey2016cbstm, + title={CBSTM-IoT: Context-based social trust model for the Internet of Things}, + author={Rafey, Sherif Emad Abdel and Abdel-Hamid, Ayman and El-Nasr, Mohamad Abou}, + booktitle={2016 International Conference on Selected Topics in Mobile \& Wireless Networking (MoWNeT)}, + pages={1--8}, + year={2016}, + organization={IEEE} +} + +@incollection{lamport2019byzantine, + title={The Byzantine generals problem}, + author={Lamport, Leslie and Shostak, Robert and Pease, Marshall}, + booktitle={Concurrency: the Works of Leslie Lamport}, + pages={203--226}, + year={2019} +} diff --git a/cbstm-iot/doc/CBSTM-IoT.pdf b/cbstm-iot/doc/CBSTM-IoT.pdf Binary files differ. diff --git a/cbstm-iot/doc/CBSTM-IoT.tex b/cbstm-iot/doc/CBSTM-IoT.tex @@ -0,0 +1,136 @@ +\documentclass{article} +\usepackage{graphicx} +\usepackage[margin=2cm]{geometry} +\usepackage[english]{babel} +\usepackage{float} +\usepackage{amsmath} +\usepackage{cite} +\usepackage{amssymb} +\usepackage{booktabs} +\usepackage{tabularx} +\usepackage{hyperref} +\usepackage{multicol} +\usepackage{parskip} +\title{Context Attacks on CBSTM-IoT} +\author{Cody Lewis} +\date{\today} + +\begin{document} + \maketitle + + We implemented a simulation of the trust model proposed in \cite{rafey2016cbstm}, + this trust model managed to mitigate the context attacks. + + \section{Configurations of the Simulation} + Our simulation contained 100 nodes where 30 were adversaries, that is, to + show the effects of the attack while still below the Byzantine threshold + \cite{lamport2019byzantine}. Friendships between nodes was determined + randomly such that the average amount of friends that each node had was + approximately 50, then $frlow$ and $frhigh$ were calculated as a standard + deviation below and above that mean respectively. + + We defined the relationship factor with the following function, + \begin{equation} + R = \frac{1}{2^n} + \end{equation} + where $n$ is the degree of separation between nodes $i$ and $k$. Where + nodes belonging to the same owner have $0$ degrees of separation, and + those belonging to different owners have $1$ degree of separation. + Owners have at most 7 nodes belonging to them. + + We set the computing power, $CP$, to $1$ in order to maximize malevolent abilities of + the adversaries, also to show this trust model's greatest amount of resistance + against the attacks. + + We decided that in the case where the sum of direct trust and indirect trust was greater + than 1, that only direct trust was used, resulting in following trust weight factors + to be calculated as, + \begin{equation} + \alpha = \begin{cases} + 1 & : DT + IndT > 1 \\ + \frac{DT}{DT + IndT} & : 0 < DT + IndT \leq 1 \\ + 0 & : DT + IndT = 0 + \end{cases} + \end{equation} + and, + \begin{equation} + \beta = 1 - \alpha + \end{equation} + + where the trust of node $j$ calculated by node $i$ under context $c$ is, + \begin{equation} + T_{i,j}^c = \alpha \cdot DT_{i,j} + \beta \cdot IndT_{i,j}^c, + \end{equation} + such that $DT$ is the aggregation of direct trusts for all contexts, and + $IndT$ is the aggregation of indirect trusts under context $c$ for recommendations + from each other node. + + The effects of this can be seen Figure \ref{fig:trust_plot}, where after approximately 20 + transactions, the trust jumps from using a combination of direct and indirect to + only using direct. + + Nodes in this simulation were implemented to act benevolent with any context + value less than or equal to the their randomly assigned context potential, + under contexts above that they will act malevolent. A context, $c_i$ is less than or + equal to another context, $c_j$, iff $i \leq j$. The context setting + adversaries attack by always reporting to the other nodes with a bad + mouthed recommendation with the target context. + + \begin{table} + \begin{tabularx}{\textwidth}{X X} + \toprule + \textbf{Parameter} & \textbf{Value} \\ + \midrule + $w$ & $\{0.25, 0.25, 0.25, 0.25\}$ \\ + \midrule + $w_h$ & $0.50$ \\ + \midrule + $w_d$ & $0.50$ \\ + \midrule + $R$ & $0.5$ \\ + \midrule + $CP$ & $1$ \\ + \midrule + $fb_{max}$ & $10$ \\ + \midrule + $MD$ & $0.1$ \\ + \midrule + Contexts & $\{c_1, c_2, c_3, c_4, c_5, c_6, c_7, c_8, c_9, c_{10}\}$ \\ + \midrule + Total nodes & $ 100 $ \\ + \midrule + Transactions & $ 50 $ \\ + \midrule + Adversaries & $ 30\% $ \\ + \bottomrule + \end{tabularx} + \caption{The parameters of CBSTM IoT trust model implementation} + \label{table:sim-params} + \end{table} + + \newpage + + \section{Results} + This trust model was resistant to the context attacks, due to the split of direct and + indirect trusts, where direct trust is calculated as an aggregation of + experiences in all contexts. Another factor that allowed for the mitigation + of context attacks was the filtration of recommendations based on context, + where the contexts themselves do not have any other effect on resulting + trust calculation. Since the contexts were only used for the filtration of + recommendations, standard bad mouthing mitigation techniques were effective + against the context setting attack. The comparison of the context setting + attack to a completely benevolent network is shown in Figure \ref{fig:trust_plot}, where the red + line is the trust values where 30\% of network are context setting adversaries, and + the blue line is when there are no adversaries in the network. + + \begin{figure}[H] + \centering + \includegraphics[width=\textwidth]{../1-trust-eval-on-8-in-context-3.png} + \caption{Comparison of the context setting attack to a benevolent network} + \label{fig:trust_plot} + \end{figure} + + + \bibliographystyle{plain} + \bibliography{CBSTM-IoT} +\end{document} diff --git a/cbstm-iot/doc/makefile b/cbstm-iot/doc/makefile @@ -0,0 +1,13 @@ +all: clean doc display + +clean: + $(RM) CBSTM-IoT.aux CBSTM-IoT.log CBSTM-IoT.out CBSTM-IoT.pdf + +doc: + pdflatex CBSTM-IoT.tex; \ + bibtex CBSTM-IoT; \ + pdflatex CBSTM-IoT.tex; \ + pdflatex CBSTM-IoT.tex; \ + +display: + zathura CBSTM-IoT.pdf diff --git a/li-19/BatchSimulation.R b/li-19/BatchSimulation.R @@ -0,0 +1,10 @@ +#!/usr/bin/env Rscript + +library(li19trustmodel) + +main <- function() { + batch_simulation(500, config="inst/extdata/params.json") + quit("no") +} + +main() diff --git a/li-19/DESCRIPTION b/li-19/DESCRIPTION @@ -0,0 +1,39 @@ +Package: li19trustmodel +Title: Li 19 Trust Model +Version: 0.0.1.9000 +Authors@R: + person(given = "Cody", + family = "Lewis", + role = c("aut", "cre"), + email = "cody@codymlewis.com") +Description: Simulate The Trust Model Proposed In Context-Aware Trust + Management System for IoT Applications with Multiple Domains +Imports: + ggplot2, + png, + tcltk2, + R6, + rjson, + Cairo, + igraph +License: What license it uses +Encoding: UTF-8 +LazyData: true +RoxygenNote: 7.0.1 +Suggests: + testthat (>= 2.1.0) +Collate: + 'Adversaries.R' + 'BaseStation.R' + 'Device.R' + 'Tile.R' + 'Functions.R' + 'Field.R' + 'Params.R' + 'Globals.R' + 'Normalizers.R' + 'Observation.R' + 'Observer.R' + 'ServiceProvider.R' + 'Simulation.R' + 'TrustModel.R' diff --git a/li-19/GUI.R b/li-19/GUI.R @@ -0,0 +1,9 @@ +#!/usr/bin/env Rscript + +library(li19trustmodel) + +main <- function() { + run_gui(config="inst/extdata/params.json") +} + +main() diff --git a/li-19/LICENSE b/li-19/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020 Cody Lewis + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/li-19/Makefile b/li-19/Makefile @@ -0,0 +1,53 @@ +PKGNAME := $(shell sed -n "s/Package: *\([^ ]*\)/\1/p" DESCRIPTION) +PKGVERS := $(shell sed -n "s/Version: *\([^ ]*\)/\1/p" DESCRIPTION) +PKGSRC := $(shell basename `pwd`) + +all: clean docs build install + +new-test: + R -e "usethis::use_test('$(name)')" + +test: + R -e "devtools::test()" + +deps: + R -e "\ + r = getOption('repos'); \ + r['CRAN'] = 'https://cran.csiro.au/'; \ + options(repos = r); \ + rm(r); \ + if (!require(devtools)) { \ + install.packages('devtools'); \ + };\ + install.packages(c('png', 'ggplot2', 'tcltk2', 'styler', 'R6'), dependencies=TRUE)" + +check: + R -e "devtools::check()" + +ci-test: deps all test + +docs: + R -e "devtools::document()" + +build: + R -e "devtools::build()" + +atts: + R -e "Rcpp::compileAttributes()" + +style: + R -e "styler::style_pkg(indent_by=4)" + +ref: + R CMD Rd2pdf . + +gif: + ./mapgif + +install: + R -e "devtools::install()" + +clean: + $(RM) -r images;\ + cd ..;\ + $(RM) -r $(PKGNAME).Rcheck/ diff --git a/li-19/NAMESPACE b/li-19/NAMESPACE @@ -0,0 +1,5 @@ +# Generated by roxygen2: do not edit by hand + +export(batch_simulation) +export(run_gui) +export(run_simulation) diff --git a/li-19/Playground.R b/li-19/Playground.R @@ -0,0 +1,58 @@ +H <- function(x) { + return(-sum(x * log(x, base = 3))) +} + + +find_trust <- function(x) { + return(0.3 * (1 - H(x))) +} + + +find_new_rep <- function(o, nr, omega = 0.981) { + return(omega*o + omega*0.1**(omega*abs(o))*nr) +} + + +rep_fnr <- function(o, nr, reps, omega = 0.981) { + for (i in 1:reps) { + o <- find_new_rep(o, nr, omega) + } + return(o) +} + + +plot_reachable_trust <- function(om = 0.95, t = 0:79) { + y <- sapply( + t, + function(i) { + rep_fnr( + 0.01, + find_trust( + c( + (i + 1) / (i + 3), + 1 / (i + 3), + 1 / (i + 3) + ) + ), + 200, + om = om + ) + } + ) + y[1] <- 0.01 + Cairo::CairoPNG( + filename=sprintf("omega=%f.png", om), + height = 1080 / 2, + width = 1920 / 2 + ) + plot( + c(0, t + 1), + c(0, y * (2 - 0.5**0.3)), + type = "o", + xlab = "Number of Good Contacts", + ylab = "Reachable Trust", + col = "blue" + ) + axis(1, at=seq(0, 80, by=5)) + dev.off() +} diff --git a/li-19/R/Adversaries.R b/li-19/R/Adversaries.R @@ -0,0 +1,52 @@ +BadMouther <- R6::R6Class( + "BadMouther", + inherit = Device, + public = list( + create_rec = function(rs_dir_trust) { + return( + Observation$new( + self$contexts[[self$id]][get_context_index(params$time_now)], + -1, + self$id + ) + ) + }, + + fill_estimated_trust = function(used_trust) { + self$estimated_trusts[[params$time_now]] <- -1 + invisible(self) + } + ) +) + + +ContextSetter <- R6::R6Class( + "ContextSetter", + inherit = Device, + public = list( + create_rec = function(rs_dir_trust) { + return( + Observation$new( + normalize( + c( + params$time_now, + params$target_capability, + euc_dist( + params$target_location, + self$service_provider$location + ), + params$target_velocity + ) + ), + -1, + self$id + ) + ) + }, + + fill_estimated_trust = function(used_trust) { + self$estimated_trusts[[params$time_now]] <- -1 + invisible(self) + } + ) +) diff --git a/li-19/R/BaseStation.R b/li-19/R/BaseStation.R @@ -0,0 +1,87 @@ +BaseStation <- R6::R6Class( + "BaseStation", + list( + location = NULL, + table = NULL, + neighbours = list(), + updated = FALSE, + + initialize = function(x = 1, y = 1) { + self$location <- c(x, y) + self$table <- list( + next_hop = c(list(), rep(NULL, params$number_nodes)), + hops = rep(Inf, params$number_nodes) + ) + invisible(self) + }, + + add_neighbour = function(base_station) { + "Symmetrically add a new neighbouring base station to this" + self$new_neighbour(base_station) + base_station$new_neighbour(self) + invisible(self) + }, + + new_neighbour = function(neighbour) { + "Add a new neighbour to this" + self$neighbours[[length(self$neighbours) + 1]] <- neighbour + invisible(self) + }, + + connect = function(device) { + "Connect to a device" + self$table$next_hop[[device$id]] <- device + self$table$hops[[device$id]] <- 0 + invisible(self) + }, + + disconnect = function(device) { + "Disconnect from a device" + self$table$next_hop[[device$id]] <- 0 + self$table$hops[[device$id]] <- Inf + invisible(self) + }, + + retabulate = function(device) { + "Recalculate the routing tables of each of the neighbours" + self$updated <- TRUE + for (neighbour in self$neighbours) { + neighbour$tabulate_device(device, self, self$table$hops[[device$id]] + 1) + } + invisible(self) + }, + + tabulate_device = function(device, prev_base_station, hops) { + "Update the routing table on the given device" + if (!self$updated) { + self$table$next_hop[[device$id]] <- prev_base_station + self$table$hops[[device$id]] <- hops + self$updated <- TRUE + for (neighbour in self$neighbours) { + neighbour$tabulate_device(device, self, hops + 1) + } + } + invisible(self) + }, + + finish_update = function() { + "Finish with updating the routing tables" + if (self$updated) { + self$updated <- FALSE + for (neighbour in self$neighbours) { + neighbour$finish_update() + } + } + invisible(self) + }, + + find_device = function(dev_id) { + "Route for the device with the given id" + cur_device <- self + while (cur_device$table$hops[[dev_id]] > 0) { + cur_device <- cur_device$table$next_hop[[dev_id]] + } + return(cur_device$table$next_hop[[dev_id]]) + } + ) +) diff --git a/li-19/R/Device.R b/li-19/R/Device.R @@ -0,0 +1,810 @@ +Device <- R6::R6Class( + "Device", + list( + id = NULL, + contacts = NULL, + location = NULL, + current_goal = NULL, + capability = NULL, + velocity = NULL, + trust = NULL, + distrust = NULL, + unknown = NULL, + sp_trust = NULL, + sp_distrust = NULL, + sp_unknown = NULL, + domain = NULL, + reputations = NULL, + service_provider = NULL, + time_last_moved = NULL, + estimated_trusts = NULL, + map = list(), + contexts = list(), + stored_trusts = list(), + cached_contexts = list(), + observed_trusts = NULL, + acceptable_recs = list(), + old_trusts = list(), + old_contexts = list(), + transacted = FALSE, + + initialize = function(id, sp, map = NULL, loc = NULL) { + self$service_provider <- sp + self$setup_map(map, loc) + self$id <- id + self$set_trusts() + self$setup_signals(map) + self$velocity <- runif(1, min = 0, max = params$max_velocity) + self$capability <- runif(1, min = 1, max = params$max_capability) + self$reputations <- rep(params$init_reputation, params$number_nodes) + self$time_last_moved <- params$time_now - 1 + self$estimated_trusts <- c(params$trust_new_contact) + self$setup_report_storage() + self$setup_reputations() + invisible(self) + }, + + setup_map = function(map, loc) { + "Setup the map realted values for this node" + if (!is.null(map)) { + self$map <- list(map) + self$location <- `if`( + is.null(loc), + round(runif(2, min = 1, max = map$shape())), + loc + ) + if (round(runif(1)) == 1) { + self$domain <- AIR + } else { + self$domain <- map$get_tile(self$location)[[1]]$terrain + } + self$new_goal() + } else { + self$location <- round( + runif( + 2, + min = 1, + max = c(params$map_width, params$map_height) + ) + ) + self$map <- list() + self$domain <- sample(c(AIR, LAND, WATER), 1) + } + invisible(self) + }, + + setup_signals = function(map) { + "Add the signal from this node to the field" + if (!is.null(map)) { + map$get_tile(self$location)[[1]]$add_device(self) + for (signal in map$get_tile(self$location)[[1]]$signals) { + signal$connect(self) + } + } + invisible(self) + }, + + setup_report_storage = function() { + "Setup the report storing values for each node" + self$contexts <- lapply( + 1:params$number_nodes, + function(i) { + `if`( + i == self$id, + normalize( + c( + params$time_now, + self$capability, + euc_dist(self$location, self$service_provider$location), + self$velocity + ) + ), + c(params$time_now, 0, 0, 0) + ) + } + ) + self$acceptable_recs <- lapply( + 1:params$number_nodes, + function(i) { + c(FALSE) + } + ) + self$stored_trusts <- lapply( + 1:params$number_nodes, + function(i) { + params$trust_new_contact + } + ) + invisible(self) + }, + + setup_reputations = function() { + "Setup the reputation related values for each node" + self$reputations <- sapply( + 1:params$number_nodes, + function(i) { + `if`( + i == self$id, + params$rep_self, + params$init_reputation + ) + } + ) + self$cached_contexts <- lapply( + 1:params$number_nodes, + function(i) { + c(params$time_now - 1, 0, 0, 0) + } + ) + self$old_contexts <- lapply( + 1:params$number_nodes, + function(i) { + c(params$time_now - 1, 0, 0, 0) + } + ) + invisible(self) + }, + + add_contact = function(adds, devs) { + "Add the contacts specified in the list" + for (i in adds) { + if (length(self$contacts) >= params$max_number_contacts) { + break + } + if (length(devs[[i]]$contacts) < params$max_number_contacts) { + self$new_contact(i) + devs[[i]]$new_contact(self$id) + } + } + invisible(self) + }, + + new_contact = function(add) { + "Add a single new contact" + self$contacts <- sort(union(self$contacts, add)) + invisible(self) + }, + + set_trusts = function() { + "Set up the trusts for the service providers in the network" + self$trust <- rep(0, params$number_nodes) + self$distrust <- rep(0, params$number_nodes) + self$unknown <- rep(0, params$number_nodes) + self$sp_trust <- 0 + self$sp_distrust <- 0 + self$sp_unknown <- 0 + invisible(self) + }, + + new_goal = function() { + "Find a new location to head towards" + while (all(self$current_goal == self$location) || + (self$domain == WATER && + self$map[[1]]$get_tile(self$current_goal)[[1]]$terrain != WATER)) { + self$current_goal <- round(runif(2, min = 1, max = self$map[[1]]$shape())) + } + invisible(self) + }, + + sp_trust_increment = function() { + "Increment the trust count of the service provider" + self$sp_trust <- self$sp_trust + params$tdu_increment + invisible(self) + }, + + sp_distrust_increment = function() { + "Increment the distrust count of the service provider" + self$sp_distrust <- self$sp_distrust + params$tdu_increment + invisible(self) + }, + + sp_unknown_increment = function() { + "Increment the unknown count of the service provider" + self$sp_unknown <- self$sp_unknown + params$tdu_increment + invisible(self) + }, + + trust_increment = function(id_sender) { + "Increment the trust count of the sender" + self$trust[[id_sender]] <- self$trust[[id_sender]] + 1 + invisible(self) + }, + + unknown_increment = function(id_sender) { + "Increment the unknown count of the sender" + self$unknown[[id_sender]] <- self$unknown[[id_sender]] + 1 + invisible(self) + }, + + distrust_increment = function(id_sender) { + "Increment the distrust count of the sender" + self$distrust[[id_sender]] <- self$distrust[[id_sender]] + 1 + invisible(self) + }, + + send_rec = function(devices) { + "Send a recommendation to the devices" + rs_dir_trust <- self$find_direct_trust( + self$contexts[[self$id]][get_context_index(params$time_now)], + recommendation = TRUE + ) + self$stored_trusts[[self$id]][[params$time_now]] <- rs_dir_trust$trust_comb + self$emit_observation( + self$create_rec(rs_dir_trust), + devices + ) + invisible(self) + }, + + create_rec = function(rs_dir_trust) { + "Create a recommendation" + return( + Observation$new( + self$contexts[[self$id]][get_context_index(params$time_now)], + rs_dir_trust$trust_comb, + self$id, + self$acceptable_recs[[self$id]][[params$time_now]] + ) + ) + }, + + recieve_observation = function(obs) { + "Receive a recommendation from the sender" + if (length(self$stored_trusts[[obs$id_sender]]) >= params$compression_factor) { + w_context <- find_weighted_context( + c(self$contexts[[obs$id_sender]], obs$context) + ) + self$stored_trusts[[obs$id_sender]] <- `if`( + obs$id_sender == self$id, + self$stored_trusts[[obs$id_sender]] <- direct_trust( + c(self$stored_trusts[[obs$id_sender]], obs$trust), + c(self$contexts[[obs$id_sender]], obs$context), + w_context + ), + self$stored_trusts[[obs$id_sender]] <- indirect_trust( + c(self$stored_trusts[[obs$id_sender]], obs$trust), + self$reputations[[obs$id_sender]], + c(self$contexts[[obs$id_sender]], obs$context), + find_weighted_context(self$contexts[[self$id]]), + w_context + ) + ) + self$contexts[[obs$id_sender]] <- w_context + } else { + cw_len <- length(params$context_weights) + i <- `if`( + params$compression_factor < Inf, + length(self$stored_trusts[[obs$id_sender]]) + 1, + params$time_now + ) + self$contexts[[obs$id_sender]][ + get_context_index(i) + ] <- obs$context + self$stored_trusts[[obs$id_sender]][[i]] <- obs$trust + } + self$calc_acceptability(obs) + invisible(self) + }, + + calc_acceptability = function(obs) { + if (any(self$acceptable_recs[[obs$id_sender]])) { + if (self$acceptable_recs[[obs$id_sender]][[params$time_now - 1]]) { + self$old_trusts[[obs$id_sender]] <- + self$stored_trusts[[obs$id_sender]][[params$time_now - 1]] + self$old_contexts[[obs$id_sender]] <- + self$contexts[[obs$id_sender]][get_context_index(params$time_now - 1)] + } + if (self$old_trusts[[obs$id_sender]] < + (params$delta_a - params$trust_rep_adj_range)) { + self$acceptable_recs[[obs$id_sender]][[params$time_now]] <- + obs$acceptable && ( + obs$trust > (params$delta_a - params$trust_rep_adj_range) || + acceptable_rec( + find_weighted_context( + c( + self$cached_contexts[[obs$id_sender]], + obs$context + ) + ), + self$old_contexts[[obs$id_sender]], + self$old_trusts[[obs$id_sender]] + ) + ) + } else { + self$acceptable_recs[[obs$id_sender]][[params$time_now]] <- obs$acceptable + } + } else { + self$acceptable_recs[[obs$id_sender]][[params$time_now]] <- obs$acceptable + } + invisible(self) + }, + + move = function() { + "Move towards the current goal" + time_change <- params$time_now - self$time_last_moved + old_signals <- self$get_signals() + self$disconnect_all() + movement_amount <- round(self$velocity * time_change) + movement <- `if`(movement_amount > 0, 1:movement_amount, NULL) + for (m in movement) { + best_weight <- Inf + best_loc <- NA + best_tile <- NA + for (i in (self$location[[1]] - 1):(self$location[[1]] + 1)) { + for (j in (self$location[[2]] - 1):(self$location[[2]] + 1)) { + loc <- c(i, j) + tile <- self$map[[1]]$get_tile(loc) + if (!all(loc == self$location) && length(tile)) { + tile <- tile[[1]] + cost <- `if`( + self$domain == AIR, + 1, + `if`( + self$domain == tile$terrain, + 1, + 2 + ) + ) + weight <- cost + euc_dist(loc, self$current_goal) + if (weight < best_weight) { + best_weight <- weight + best_loc <- loc + best_tile <- tile + } + } + } + } + if (!all(is.na(best_loc))) { + self$map[[1]]$get_tile(self$location)[[1]]$rm_device(self$id) + self$location <- best_loc + best_tile$add_device(self) + } + } + self$connect_all() + self$retabulate_all(old_signals) + self$velocity <- min(max(0, self$velocity + rnorm(1)), params$max_velocity) + if (all(self$location == self$current_goal)) { + self$new_goal() + } + self$time_last_moved <- params$time_now + invisible(self) + }, + + disconnect_all = function() { + "Disconnect from all base stations that this is currently connected to" + for (signal in self$map[[1]]$get_tile(self$location)[[1]]$signals) { + signal$disconnect(self) + } + invisible(self) + }, + + connect_all = function() { + "Connect to all base stations currently in range of this" + for (signal in self$map[[1]]$get_tile(self$location)[[1]]$signals) { + signal$connect(self) + } + invisible(self) + }, + + retabulate_all = function(old_signals) { + "After changing from being in one set of signals to another, make + them recalculate their routing tables" + if (self$has_signal()) { + check_signals <- self$get_signals() + } else { + check_signals <- old_signals + } + for (signal in check_signals) { + signal$retabulate(self) + } + for (signal in check_signals) { + signal$finish_update() + } + invisible(self) + }, + + has_signal = function() { + "Check whether this has signal" + return(length(self$map[[1]]$get_tile(self$location)[[1]]$signals) > 0) + }, + + get_signals = function() { + "Get the list of signals in range of this" + return(self$map[[1]]$get_tile(self$location)[[1]]$signals) + }, + + transaction = function(devices, can_transact = TRUE) { + "Perform a transaction with a service provider" + normalized_c_target <- normalize(self$get_target_context()) + used_trust <- self$use_trust(normalized_c_target) + self$acceptable_recs[[self$id]][[params$time_now]] <- FALSE + if (can_transact) { + if (used_trust > params$trust_rep_threshold - params$trust_rep_adj_range) { + t_rs <- self$service_provider$provide_service() + if (t_rs == TRUSTED) { + self$sp_trust_increment() + } else if (t_rs == UNKNOWN) { + self$sp_unknown_increment() + } else { + self$sp_distrust_increment() + } + self$acceptable_recs[[self$id]][[params$time_now]] <- TRUE + } + } + self$fill_estimated_trust(used_trust) + self$contexts[[self$id]][get_context_index(params$time_now)] <- normalized_c_target + self$observed_trusts[[params$time_now]] <- weighted_trust( + compute_trust(self$sp_trust, self$sp_distrust, self$sp_unknown), + self$sp_trust, + self$sp_distrust, + self$sp_unknown + ) + invisible(self) + }, + + use_trust = function(normalized_c_target) { + "Calculate the trust value to use" + rs_dir_trust <- self$find_direct_trust(normalized_c_target) + return( + `if`( + abs(rs_dir_trust$trust_comb) <= + (params$trust_rep_threshold + params$trust_rep_adj_range), + self$find_indirect_trust(normalized_c_target), + rs_dir_trust$trust_est + ) + ) + }, + + get_target_context = function() { + "Get the current target context" + if (params$rand_context) { + return( + c( + params$time_now, + runif(1, min = 0, max = params$max_capability), + euc_dist( + round(runif(2, min = 1, max = self$map[[1]]$size())), + self$service_provider$location + ), + runif(1, min = 0, max = params$max_velocity) + ) + ) + } + return( + c( + params$time_now, + self$capability, + euc_dist(self$location, self$service_provider$location), + self$velocity + ) + ) + }, + + find_direct_trust = function(normalized_c_target, recommendation = FALSE) { + "Find the direct trust of the service provider" + trust_evaled <- `if`( + recommendation, + 0, + weighted_trust( + compute_trust(self$sp_trust, self$sp_distrust, self$sp_unknown), + self$sp_trust, + self$sp_distrust, + self$sp_unknown + ) + ) + valid_trusts <- !is.na(self$observed_trusts) + valid_contexts <- !is.na(self$contexts[[self$id]]) + context_weighted <- find_weighted_context(self$contexts[[self$id]][valid_contexts]) + dir_trust <- direct_trust( + c(self$observed_trusts[valid_trusts], trust_evaled), + c(self$contexts[[self$id]][valid_contexts], context_weighted), + context_weighted + ) + self$stored_trusts[[self$id]][[params$time_now]] <- dir_trust + return( + list( + trust_est = estimate_trust( + normalized_c_target, + context_weighted, + dir_trust + ), + # trust_comb = dir_trust, + trust_comb = minimax(dir_trust, -1, 1), + context_weighted = context_weighted + ) + ) + }, + + find_indirect_trust = function(normalized_c_target) { + "Find the indirect trust of the service provider" + considerations <- self$get_considerations() + ac <- unlist(self$get_all_contexts(considerations)) + if (is.null(ac) || length(ac[ac >= 0]) == 0) { + return(params$trust_new_contact) + } + context_weighted <- find_weighted_context(ac) + ind_trust <- self$find_ind(context_weighted, considerations) + return( + estimate_trust( + normalized_c_target, + context_weighted, + ind_trust + ) + ) + }, + + fill_estimated_trust = function(used_trust) { + self$estimated_trusts[[params$time_now]] <- used_trust + invisible(self) + }, + + get_considerations = function(excludes = c()) { + "Find which recommendations should be considered" + return( + lapply( + 1:params$number_nodes, + function(i) { + if (i %in% self$contacts & !i %in% excludes) { + acc_recs <- which( + self$acceptable_recs[[i]] + ) + return( + `if`( + length(acc_recs) > 0, + tail(acc_recs, 1), + 0 + ) + ) + } else { + return(0) + } + } + ) + ) + }, + + get_all_contexts = function(considerations) { + "Get all of the context values that should be considered" + return( + lapply( + self$contacts, + function(i) { + return( + `if`( + considerations[[i]] == 0, + NULL, + self$contexts[[i]][get_context_index(considerations[[i]])] + ) + ) + } + ) + ) + }, + + find_ind = function(context_weighted, considerations) { + "Calculate the indirect trust" + ow <- lapply( + self$contacts, + function(i) { + return( + `if`( + considerations[[i]] == 0, + NULL, + omega( + context_weighted, + self$contexts[[i]][ + get_context_index(considerations[[i]]) + ] + ) + ) + ) + } + ) + denominator <- sum(unlist(ow)) + numerator <- sum( + unlist( + lapply( + self$contacts, + function(i) { + return( + `if`( + considerations[[i]] == 0, + NULL, + ow[[which(i == self$contacts)]] * ( + omega( + self$cached_contexts[[i]], + self$contexts[[i]][ + get_context_index(considerations[[i]]) + ] + ) * + self$reputations[[i]] * + self$stored_trusts[[i]][considerations[[i]]] + ) + ) + ) + } + ) + ) + ) + return(numerator / denominator) + }, + + + performance_updates = function() { + lapply( + self$contacts, + function(i) { + self$performance_update(i) + } + ) + invisible(self) + }, + + performance_update = function(id_sender) { + "Update the stored performance of the observer" + if (length(which(self$acceptable_recs[[id_sender]])) >= 1) { + prev_time <- tail(which(self$acceptable_recs[[id_sender]]), 2)[[1]] + if (all(c(self$acceptable_recs[[self$id]][c(prev_time, params$time_now)]))) { + context_trust_now <- self$get_contexts_trust(self$id, params$time_now) + context_trust_prev <- self$get_contexts_trust(self$id, prev_time) + self$update_rep_tdu( + id_sender, + prev_time, + context_trust_now, + context_trust_prev + ) + } else { + lapply( + setdiff(self$contacts, id_sender), + function(i) { + if (all(c(self$acceptable_recs[[i]][c(prev_time, params$time_now)]))) { + context_trust_now <- self$get_contexts_trust(i, params$time_now) + context_trust_prev <- self$get_contexts_trust(i, prev_time) + self$update_rep_tdu( + id_sender, + prev_time, + context_trust_now, + context_trust_prev + ) + } + } + ) + } + } + invisible(self) + }, + + get_contexts_trust = function(id, time) { + "Get the context and trust of node id from the time" + return( + list( + context = self$contexts[[id]][ + get_context_index(time) + ], + trust = self$stored_trusts[[id]][[time]] + ) + ) + }, + + update_rep_tdu = function(id_sender, prev_time, + context_trust_now, context_trust_prev) { + if (length(context_trust_now) > 0 && length(context_trust_prev) > 0) { + direct_trend <- trend_of_trust( + `if`(prev_time == params$time_now, 0, context_trust_prev$trust), + context_trust_now$trust, + context_trust_prev$context, + context_trust_now$context + ) + indirect_trend <- trend_of_trust( + `if`( + prev_time == params$time_now, + 0, + self$stored_trusts[[id_sender]][[prev_time]] + ), + self$stored_trusts[[id_sender]][[params$time_now]], + self$contexts[[id_sender]][get_context_index(prev_time)], + self$contexts[[id_sender]][get_context_index(params$time_now)] + ) + trends_diff <- abs(direct_trend - indirect_trend) + trends_max <- max(abs(direct_trend), abs(indirect_trend)) + if (trends_diff < trends_max) { + self$trust_increment(id_sender) + } else if (trends_diff <= max(trends_max, params$trend_threshold)) { + self$unknown_increment(id_sender) + } else { + self$distrust_increment(id_sender) + } + } + }, + + combine_reps = function() { + lapply( + self$contacts, + function(i) { + self$combine_rep(i) + } + ) + invisible(self) + }, + + combine_rep = function(id_sender) { + "Find the new reputation for sender of recommendation" + if (self$acceptable_recs[[id_sender]][[params$time_now]]) { + sender_context <- self$contexts[[id_sender]][get_context_index(params$time_now)] + c_new <- find_weighted_context( + c(self$cached_contexts[[id_sender]], sender_context) + ) + self$reputations[[id_sender]] <- minimax( + reputation_combination( + self$old_contexts[[id_sender]], + sender_context, + c_new, + self$reputations[[id_sender]], + weighted_trust( + compute_trust( + self$trust[[id_sender]], + self$distrust[[id_sender]], + self$unknown[[id_sender]] + ), + self$trust[[id_sender]], + self$distrust[[id_sender]], + self$unknown[[id_sender]] + ) + ), + -1, + 1 + ) + if (abs(self$reputations[[id_sender]]) <= + params$trust_rep_adj_range) { + self$reputations[[id_sender]] <- params$init_reputation + } + self$cached_contexts[[id_sender]] <- c_new + } + invisible(self) + }, + + emit_observation = function(observation, devices) { + "send observation to all contacts" + lapply( + self$contacts, + function(contact) { + connection_data <- self$communicate(contact) + if (connection_data[[1]] < Inf) { + # routed communication + connection_data[[2]]$recieve_observation(observation) + } else if (euc_dist( + devices[[contact]]$location, + self$location + ) <= params$dev_signal_radius) { + # direct communication + devices[[contact]]$recieve_observation(observation) + } + } + ) + invisible(self) + }, + + communicate = function(contact_id) { + "Communicate with a random contact" + this_tile <- self$map[[1]]$get_tile(self$location)[[1]] + best_signal <- 1 + for (i in seq_len(length(this_tile$signals))) { + if (this_tile$signals[[i]]$table$hops[[contact_id]] <= + this_tile$signals[[best_signal]]$table$hops[[contact_id]]) { + best_signal <- i + } + } + if (this_tile$signals[[best_signal]]$table$hops[[contact_id]] < Inf) { + other_device <- this_tile$signals[[best_signal]]$find_device(contact_id) + } else { + other_device <- NULL + } + return( + list( + this_tile$signals[[best_signal]]$table$hops[[contact_id]], + other_device + ) + ) + } + ) +) diff --git a/li-19/R/Field.R b/li-19/R/Field.R @@ -0,0 +1,134 @@ +#' @include Functions.R +#' @include Tile.R + +Field <- R6::R6Class( + "Field", + list( + tiles = list(), + + initialize = function(data = NULL, verbose = F) { + base_stations <- place_base_stations(params$map_width, params$map_height) + self$tiles <- list() + if (verbose) { + cat("Creating field...\n") + } + self$add_tiles(data, base_stations, verbose) + grid_connect(self, base_stations) + invisible(self) + }, + + add_tiles = function(data, base_stations, verbose) { + "Add the tiles of the map" + for (i in 1:params$map_width) { + self$tiles[[i]] <- list() + for (j in 1:params$map_height) { + self$tiles[[i]][[j]] <<- Tile$new( + `if`( + !all(is.null(data)), + data[[i]][[j]], + `if`(round(runif(1)), 1, 0) + ) + ) + self$add_base_stations(base_stations, i, j) + } + if (verbose) { + cat_progress( + i, + params$map_width, + prefix = sprintf("Column %d of %d", i, params$map_width) + ) + } + } + invisible(self) + }, + + add_base_stations = function(base_stations, i, j) { + "Possibly add base stations or base station signals to the current tile" + for (base_station in base_stations) { + if (euc_dist(base_station$location, c(i, j)) <= params$signal_radius) { + is_edge <- (euc_dist(base_station$location, c(i + 1, j)) > + params$signal_radius) || + (euc_dist(base_station$location, c(i, j + 1)) > + params$signal_radius) || + (euc_dist(base_station$location, c(i - 1, j)) > + params$signal_radius) || + (euc_dist(base_station$location, c(i, j - 1)) > + params$signal_radius) + self$tiles[[i]][[j]]$add_signal( + base_station, + is_edge + ) + } + if (all(base_station$location == c(i, j))) { + self$tiles[[i]][[j]]$add_base_station(base_station) + } + } + invisible(self) + }, + + size = function() { + "Get the size of the field" + return(length(self$tiles)) + }, + + shape = function() { + "Get the shape of the field" + return(c(length(self$tiles[[1]]), length(self$tiles))) + }, + + get_tile = function(location) { + "Get the tile at the location if there is one, otherwise NA" + if (all(location <= self$shape()) && all(location > c(0, 0))) { + return(list(self$tiles[[location[[1]]]][[location[[2]]]])) + } + return(list()) + }, + + add_service_provider = function(sp) { + cur_tile <- self$get_tile(sp$location) + if (length(cur_tile)) { + cur_tile[[1]]$add_service_provider(sp) + } + invisible(self) + } + ) +) + + +# Place the base stations on a rectangle such that the signals cover the +# entirety of the rectangle +place_base_stations <- function(width, height) { + gap <- compute_gap(params$signal_radius) + base_stations <- list() + + for (i in seq(min(width / 2, gap), width, gap)) { + for (j in seq(min(height / 2, gap), height, gap)) { + base_stations[[length(base_stations) + 1]] <- BaseStation$new(i, j) + } + } + + return(base_stations) +} + + +grid_connect <- function(field, base_stations) { + gap <- compute_gap(params$signal_radius) + for (base_station in base_stations) { + cur_loc <- base_station$location + other_tile <- field$get_tile(cur_loc - c(gap, 0)) + if (length(other_tile)) { + other_station <- other_tile[[1]]$get_base_station() + check_and_add_neighbour(base_station, other_station) + } + other_tile <- field$get_tile(cur_loc - c(0, gap)) + if (length(other_tile)) { + other_station <- other_tile[[1]]$get_base_station() + check_and_add_neighbour(base_station, other_station) + } + } +} + + +check_and_add_neighbour <- function(base_station, other_station) { + base_station$add_neighbour(other_station) +} diff --git a/li-19/R/Functions.R b/li-19/R/Functions.R @@ -0,0 +1,45 @@ +#!/usr/bin/env Rscript + + +# Create a progress bar +cat_progress <- function(current, total, progress_len = 31, prefix = "", postfix = "") { + progress <- floor(100 * current / total) + progress_bar_progress <- floor(progress_len * progress * 0.01) + + if (progress_bar_progress != 0) { + unprogressed <- progress_len - progress_bar_progress + } else { + unprogressed <- progress_len - 1 + } + + progress_bar <- "[" + progress_bar <- paste( + c( + progress_bar, + `if`( + progress_bar_progress - 2 > 0, + rep("█", progress_bar_progress - 2), + "" + ) + ), + collapse = "" + ) + + progress_bar <- paste(c(progress_bar, rep(" ", unprogressed), "]"), collapse = "") + progress_percent <- paste(c(progress, "%"), collapse = "") + postfix <- paste(c(postfix, `if`(progress == 100, "\n", "")), collapse = "") + + cat(sprintf("\r%s %s %s %s", prefix, progress_bar, progress_percent, postfix)) +} + + +# Find the Euclidean distance between the points p and q +euc_dist <- function(p, q) { + return(sqrt(sum((p - q)**2))) +} + + +# Find the gap needed for a circles to cover a square surface +compute_gap <- function(radius) { + return(round(sqrt(2 * radius**2) * params$gap_factor)) +} diff --git a/li-19/R/Globals.R b/li-19/R/Globals.R @@ -0,0 +1,16 @@ +#' @include Params.R +NULL + +utils::globalVariables( + c("LAND", "WATER", "AIR", "TRUSTED", "UNKNOWN", "DISTRUST", "params") +) + +LAND <- 0 +WATER <- 1 +AIR <- 2 + +TRUSTED <- 0 +UNKNOWN <- 1 +DISTRUST <- 2 + +params <- Params$new() diff --git a/li-19/R/Normalizers.R b/li-19/R/Normalizers.R @@ -0,0 +1,37 @@ +normalize <- function(context) { + normalizers <- c( + normalize_time, + normalize_capability, + normalize_location, + normalize_velocity + ) + + return( + sapply( + seq_len(length(context)), + function(i) { + normalizers[[i]](context[[i]]) + } + ) + ) +} + + +normalize_time <- function(time) { + return(time) +} + + +normalize_capability <- function(capability) { + return(1 - (capability / params$max_capability)) +} + + +normalize_location <- function(distance) { + return(1 - (distance / sqrt(params$map_width**2 + params$map_height**2))) +} + + +normalize_velocity <- function(velocity) { + return(1 - (velocity / params$max_velocity)) +} diff --git a/li-19/R/Observation.R b/li-19/R/Observation.R @@ -0,0 +1,17 @@ +Observation <- R6::R6Class( + "Observation", + list( + context = NULL, + trust = NULL, + id_sender = NULL, + acceptable = NULL, + + initialize = function(context, trust, id_sender, acceptable = TRUE) { + self$context <- context + self$trust <- trust + self$id_sender <- id_sender + self$acceptable <- acceptable + invisible(self) + } + ) +) diff --git a/li-19/R/Observer.R b/li-19/R/Observer.R @@ -0,0 +1,39 @@ +Observer <- R6::R6Class( + "Observer", + inherit = Device, + + public = list( + initialize = function(id, sp, map, + loc = round( + runif(2, min = 1, max = c(params$map_width, params$map_height)) + )) { + super$initialize( + id, sp, map, `if`(params$observer_targeted, params$target_location, loc) + ) + if (params$observer_targeted) { + self$capability <- params$target_capability + self$velocity <- params$target_velocity + } + invisible(self) + }, + + transaction = function(devices, can_transact = TRUE) { + super$transaction(devices, can_transact) + self$acceptable_recs[[self$id]][[params$time_now]] <- FALSE + }, + + use_trust = function(normalized_c_target) { + rs_dir_trust <- self$find_direct_trust(normalized_c_target) + return(self$find_indirect_trust(normalized_c_target)) + }, + + move = function() { + if (params$observer_targeted) { + self$time_last_moved <- params$time_now + } else { + super$move() + } + invisible(self) + } + ) +) diff --git a/li-19/R/Params.R b/li-19/R/Params.R @@ -0,0 +1,129 @@ +Params <- R6::R6Class( + "Params", + list( + number_nodes = 21, + number_good_nodes = 0, + number_service_providers = 1, + signal_radius = 100, + dev_signal_radius = 14, + max_number_contacts = 100, + init_reputation = 0.01, + rep_self = 1, + trust_new_contact = 0, + trust_rep_threshold = 0, + trend_threshold = 0.01, + trust_rep_adj_range = 0.001, + sp_ground_trust = 1, + max_capability = 100, + map_width = 100, + map_height = 100, + max_velocity = 10, + time_now = 1, + context_weights = c(0.3, 0.2, 0.4, 0.1), + eta = c(0.95, 0.7, 0.5, 0.5, 0.7), + alpha = 0.3, + beta = 0.3, + gamma = 0.8, + rho = 0.1, + delta = 0.8, + delta_a = -0.001, + p_r = 1, + theta_i = 0.8, + impact_factor = 1, + eta_i = 1, + gap_factor = 2**-1, + min_trans = 1, + max_trans = 1, + img_width = NULL, + img_height = NULL, + compression_factor = Inf, + number_adversaries = 0, + adversary_type = BadMouther, + contacts_per_node = 10, + rand_context = F, + number_observer_contacts = 10, + tdu_increment = 1, + observer_targeted = F, + target_location = c(1, 1), + target_capability = 50, + target_velocity = 5, + + initialize = function() { + self$number_good_nodes <- self$number_nodes - (self$number_adversaries + 1) + self$img_width <- ceiling(5**(1 - self$map_width / 1000)) * self$map_width + self$img_height <- ceiling(5**(1 - self$map_height / 1000)) * self$map_height + invisible(self) + }, + + increment_time = function() { + self$time_now <- self$time_now + 1 + invisible(self) + }, + + configure = function(data) { + self$number_nodes <- data$number_nodes + self$number_service_providers <- data$number_service_providers + self$signal_radius <- data$signal_radius + self$dev_signal_radius <- data$dev_signal_radius + self$max_number_contacts <- data$max_number_contacts + self$init_reputation <- data$init_reputation + self$rep_self <- data$rep_self + self$trust_new_contact <- data$trust_new_contact + self$trust_rep_threshold <- data$trust_rep_threshold + self$trend_threshold <- data$trend_threshold + self$trust_rep_adj_range <- data$trust_rep_adj_range + self$sp_ground_trust <- data$sp_ground_trust + self$max_capability <- data$max_capability + self$map_width <- data$map_width + self$map_height <- data$map_height + self$max_velocity <- data$max_velocity + self$time_now <- data$time_now + self$context_weights <- data$context_weights + self$eta <- data$eta + self$alpha <- data$alpha + self$beta <- data$beta + self$gamma <- data$gamma + self$rho <- data$rho + self$delta <- data$delta + self$delta_a <- data$delta_a + self$p_r <- data$p_r + self$theta_i <- data$theta_i + self$impact_factor <- data$impact_factor + self$eta_i <- data$eta_i + self$gap_factor <- data$gap_factor + self$min_trans <- data$min_trans + self$tdu_increment <- data$tdu_increment + self$max_trans <- data$max_trans + self$target_location <- data$target_location + self$target_capability <- data$target_capability + self$target_velocity <- data$target_velocity + + self$compression_factor <- `if`( + data$compression_factor <= 0, + Inf, + data$compression_factor + ) + self$number_adversaries <- data$number_adversaries + self$adversary_type <- get_adversary_type(data$adversary_type) + self$contacts_per_node <- data$contacts_per_node + self$rand_context <- data$rand_context + self$observer_targeted <- data$observer_targeted + self$number_good_nodes <- self$number_nodes - (self$number_adversaries + 1) + self$img_width <- ceiling(5**(1 - self$map_width / 1000)) * self$map_width + self$img_height <- ceiling(5**(1 - self$map_height / 1000)) * self$map_height + self$number_observer_contacts <- data$number_observer_contacts + invisible(self) + } + ) +) + + +get_adversary_type <- function(ad_type) { + if (grepl("BadMouther", ad_type)) { + return(BadMouther) + } else if (grepl("GoodMouther", ad_type)) { + return(GoodMouther) + } else { + return(ContextSetter) + } +} diff --git a/li-19/R/ServiceProvider.R b/li-19/R/ServiceProvider.R @@ -0,0 +1,29 @@ +ServiceProvider <- R6::R6Class( + "ServiceProvider", + list( + id = NULL, + location = NULL, + transaction_results = NULL, + + initialize = function(id = 1, p_trust = 1, p_unknown = 0, p_distrust = 0) { + self$id <- id + self$location <- round( + runif(2, min = 1, max = c(params$map_width, params$map_height)) + ) + p_vals <- c(p_trust, p_unknown, p_distrust) + sample_factor <- 10**( + 1 - floor(log(min(p_vals[p_vals != 0]), base = 10)) + ) + self$transaction_results <- c( + rep(TRUSTED, p_trust * sample_factor), + rep(UNKNOWN, p_unknown * sample_factor), + rep(DISTRUST, p_distrust * sample_factor) + ) + invisible(self) + }, + + provide_service = function() { + return(sample(self$transaction_results, 1)) + } + ) +) diff --git a/li-19/R/Simulation.R b/li-19/R/Simulation.R @@ -0,0 +1,744 @@ +#' @include Adversaries.R +#' @include ServiceProvider.R +#' @include Field.R +#' @include Device.R +#' @include Observer.R +NULL + +#' Run the simulation in a console interface +#' +#' Simulate the trust model and the mobile network and iterate for an amount +#' of time +#' @keywords trust model simulate simulation run +#' @export run_simulation + +run_simulation <- function(total_time, + map_filename = system.file( + "extdata", "map.csv", + package = "li19trustmodel" + ), + config = system.file( + "extdata", "params.json", + package = "li19trustmodel" + ), + write_plots = TRUE) { + return(run_sim_part(total_time, map_filename, rjson::fromJSON(file = config), write_plots)) +} + + +#' Run a batch of simulations in a console interface +#' +#' Simulate the trust model and the mobile network and iterate for an amount +#' of time for differing amounts of adversaries +#' @keywords trust model simulate simulation run +#' @export batch_simulation + +batch_simulation <- function(total_time, + map_filename = system.file( + "extdata", "map.csv", + package = "li19trustmodel" + ), + config = system.file( + "extdata", "params.json", + package = "li19trustmodel" + ), + num_adversaries = c(0, 2, 5, 8, 10), + adversary_types = c("BadMouther", "ContextSetter"), + colours = c("blue", "red", "green", "orange", "purple")) { + dir.create("images/plots", recursive = TRUE, showWarning = FALSE) + config <- rjson::fromJSON(file = config) + for (adv_type in adversary_types) { + config$adversary_type <- adv_type + cat(sprintf("Running simulations with adversaries of %s type\n\n", adv_type)) + data_list <- lapply( + num_adversaries, + function(i) { + config$number_adversaries <- i + cat(sprintf("Running simulations with %d adversaries...\n", i)) + return(run_sim_part(total_time, map_filename, config, FALSE)) + } + ) + names(data_list) <- sprintf("%d Adversaries", num_adversaries) + data <- reshape2::melt(data_list, id.vars = "transactions") + data$L1 <- factor( + data$L1, + levels = stringr::str_sort(levels(as.factor(data$L1)), numeric = TRUE) + ) + cat("Creating plots...\n") + ggplot2::ggplot( + data = data, + ggplot2::aes(x = transactions, y = value, colour = as.factor(L1)) + ) + + ggplot2::geom_line() + + ggplot2::scale_colour_manual(values = colours) + + ggplot2::labs( + title = "Estimated Trusts of the Observer", + x = "Time", + y = "Estimated Trust", + colour = NULL + ) + + ggplot2::scale_y_continuous(limits = c(-1.1, 1.1)) + + ggplot2::theme(legend.position = "bottom") + filename <- sprintf("images/plots/%s-estimated_trusts.png", adv_type) + ggplot2::ggsave(file = filename, width = 7, height = 7, dpi = 320, type = "cairo") + cat(sprintf("Saved plot as %s\n", filename)) + } +} + + +run_sim_part <- function(total_time, map_filename, config, write_plots) { + params$configure(config) + map_and_devices <- create_map_and_devices(map_filename) + dir.create("images/maps", recursive = TRUE, showWarning = FALSE) + img <- write_map(map_and_devices$map) + cat("Performing transactions...\n") + while (params$time_now <= total_time) { + set_trusts(map_and_devices$devices) + movements <- transact_and_move(map_and_devices$devices) + img <- update_map(params$time_now, movements[[1]], movements[[2]], img, map_and_devices$map) + cat_progress( + params$time_now, + total_time, + prefix = sprintf("Time %d of %d", params$time_now, total_time) + ) + params$increment_time() + } + cat("Done.\n\n") + if (write_plots) { + cat("Plotting estimated trusts...\n") + dir.create("images/plots", showWarning = FALSE) + for (i in 1:params$number_nodes) { + plot_estimated_trust( + i, + map_and_devices$devices + ) + filename <- sprintf("images/plots/device-%d-estimated-trust.png", i) + ggplot2::ggsave(file = filename, width = 7, height = 7, dpi = 320, type = "cairo") + cat_progress( + i, + params$number_nodes, + prefix = sprintf("Device %d of %d", i, params$number_nodes), + postfix = sprintf("Saved to %s", filename) + ) + } + } + return( + data.frame( + transactions = seq_len( + length(map_and_devices$devices[[params$number_nodes]]$estimated_trusts) + ), + estimated_trusts = map_and_devices$devices[[params$number_nodes]]$estimated_trusts + ) + ) +} + + +#' Run the simulation in a graphical interface +#' +#' Simulate the trust model and the mobile network and iterate +#' @keywords trust model simulate simulation run +#' @export run_gui + +run_gui <- function(map_filename = system.file("extdata", "map.csv", package = "li19trustmodel"), + config = system.file( + "extdata", "params.json", + package = "li19trustmodel" + )) { + params$configure(rjson::fromJSON(file = config)) + map_and_devices <- create_map_and_devices(map_filename) + dir.create("images/maps", recursive = TRUE, showWarning = FALSE) + dir.create("images/plots", recursive = TRUE, showWarning = FALSE) + img <- write_map(map_and_devices$map) + map_filename <- sprintf("images/maps/map-%d.png", params$time_now) + cat("Performing transactions...\n") + gui_objects <- build_gui(map_and_devices) + repeat { + set_trusts(map_and_devices$devices) + movements <- transact_and_move(map_and_devices$devices) + img <- update_map( + params$time_now, + movements[[1]], + movements[[2]], + img, + map_and_devices$map + ) + gui_objects <- update_gui(gui_objects, map_and_devices, movements, img) + params$increment_time() + } +} + + +build_gui <- function(map_and_devices) { + tt <- tcltk::tktoplevel() + tcltk::tktitle(tt) <- "Li 2019 Trust Model" + tp <- gui_add_frame(tt) + chosen_node_cb <- gui_add_node_chooser(tp) + chosen_node <- find_chosen_node(chosen_node_cb, map_and_devices) + cn <- map_and_devices$devices[[chosen_node]] + gui_add_close_button(tp, map_and_devices, chosen_node) + return( + list( + timelabel = gui_add_time(tp), + maplabel = gui_add_map(tt), + trustlabel = gui_add_trust(tt, map_and_devices), + chosen_node_cb = chosen_node_cb, + chosen_node = chosen_node, + contextvals_label = gui_add_context(tp, cn), + reps_label = gui_add_reputations(tp, map_and_devices, cn), + netlabel = gui_add_network(tt, cn), + old_chosen_node = chosen_node + ) + ) +} + + +gui_add_map <- function(tt) { + tcltk::tcl( + "image", + "create", + "photo", + "map", + file = sprintf("images/maps/map-%d.png", params$time_now) + ) + maplabel <- tcltk2::tk2label(tt, image = "map", compound = "image") + tcltk::tkgrid(maplabel, row = "0", column = "0") + return(maplabel) +} + + +gui_add_trust <- function(tt, map_and_devices) { + filename <- tempfile(fileext = ".png") + Cairo::CairoPNG(filename = filename, width = params$img_width, height = params$img_height) + print( + plot_estimated_trust( + length(map_and_devices$devices), + map_and_devices$devices + ) + ) + dev.off() + tcltk::tcl("image", "create", "photo", "trustest", file = filename) + trustlabel <- tcltk2::tk2label(tt, image = "trustest", compound = "image") + tcltk::tkgrid(trustlabel, row = "0", column = "1") + return(trustlabel) +} + + +gui_add_frame <- function(tt) { + tp <- tcltk2::tk2frame(tt) + tcltk::tkgrid(tp, row = "1", column = "1") + return(tp) +} + +gui_add_time <- function(tt) { + timelabel <- tcltk2::tk2label(tt, text = sprintf("Current time: %d", params$time_now)) + tcltk::tkgrid(timelabel, row = "0", column = "1") + return(timelabel) +} + + +gui_add_node_chooser <- function(tt) { + tcltk::tkgrid(tcltk2::tk2label(tt, text = "Chosen node: "), row = "1", column = "0") + chosen_node_cb <- tcltk::ttkcombobox( + tt, + textvariable = paste(), + values = seq_len(params$number_nodes) + ) + tcltk::tkgrid(chosen_node_cb, row = "1", column = "1") + return(chosen_node_cb) +} + + +update_gui <- function(gui_objects, map_and_devices, movements, img) { + gui_update_map() + gui_objects$chosen_node <- find_chosen_node(gui_objects$chosen_node_cb, map_and_devices) + gui_update_trust(gui_objects$chosen_node, map_and_devices) + cn <- map_and_devices$devices[[gui_objects$chosen_node]] + if (gui_objects$chosen_node != gui_objects$old_chosen_node) { + gui_update_network(cn) + gui_objects$old_chosen_node <- gui_objects$chosen_node + } + gui_update_time(gui_objects) + gui_update_context(gui_objects, cn) + gui_update_reputation(gui_objects, cn, map_and_devices) + return(gui_objects) +} + + +gui_update_map <- function() { + tcltk::tcl( + "image", + "create", + "photo", + "map", + file = sprintf("images/maps/map-%d.png", params$time_now) + ) +} + + +gui_update_trust <- function(chosen_node, map_and_devices) { + filename <- tempfile(fileext = ".png") + Cairo::CairoPNG(filename = filename, width = params$img_width, height = params$img_height) + print( + plot_estimated_trust( + chosen_node, + map_and_devices$devices + ) + ) + dev.off() + tcltk::tcl("image", "create", "photo", "trustest", file = filename) +} + + +gui_update_network <- function(cn) { + filename <- tempfile(fileext = ".png") + Cairo::CairoPNG( + filename = filename, + width = params$img_width, + height = params$img_height + ) + plot_network(cn) + dev.off() + tcltk::tcl("image", "create", "photo", "network", file = filename) +} + + +gui_update_time <- function(gui_objects) { + tcltk::tkconfigure( + gui_objects$timelabel, + text = sprintf("Current time: %d", params$time_now) + ) +} + + +gui_update_context <- function(gui_objects, cn) { + tcltk::tkconfigure( + gui_objects$contextvals_label, + text = paste( + sprintf( + "%s:\t%f", + c("Capability", "Distance", "Velocity"), + cn$get_target_context()[2:4] + ), + collapse = "\n" + ) + ) +} + + +gui_update_reputation <- function(gui_objects, cn, map_and_devices) { + tcltk::tkconfigure( + gui_objects$reps_label, + text = paste( + sprintf( + "Node %d:\t%f", + seq_len(length(map_and_devices$devices)), + cn$reputations + ), + collapse = "\n" + ) + ) +} + + +find_chosen_node <- function(chosen_node_cb, map_and_devices) { + chosen_node <- as.integer(tcltk::tkget(chosen_node_cb)) + return( + `if`( + length(chosen_node) == 0 || + is.na(chosen_node) || + chosen_node > length(map_and_devices$devices), + length(map_and_devices$devices), + chosen_node + ) + ) +} + + +gui_add_context <- function(tt, cn) { + tcltk::tkgrid(tcltk2::tk2label(tt, text = "Contexts:"), row = "2", column = "0") + contextvals_label <- tcltk2::tk2label( + tt, + text = paste( + sprintf( + "%s:\t%f", + c("Capability", "Distance", "Velocity"), + cn$get_target_context()[2:4] + ), + collapse = "\n" + ) + ) + tcltk::tkgrid(contextvals_label, row = "2", column = "1") + return(contextvals_label) +} + + +gui_add_reputations <- function(tt, map_and_devices, cn) { + tcltk::tkgrid(tcltk2::tk2label(tt, text = "Reputations:"), row = "3", column = "0") + reps_label <- tcltk2::tk2label( + tt, + text = paste( + sprintf( + "Node %d:\t%f", + 1:length(map_and_devices$devices), + cn$reputations + ), + collapse = "\n" + ) + ) + tcltk::tkgrid(reps_label, row = "3", column = "1") + return(reps_label) +} + + +gui_add_network <- function(tt, cn) { + filename <- tempfile(fileext = ".png") + Cairo::CairoPNG(filename = filename, width = params$img_width, height = params$img_height) + plot_network(cn) + dev.off() + tcltk::tcl("image", "create", "photo", "network", file = filename) + netlabel <- tcltk2::tk2label(tt, image = "network", compound = "image") + tcltk::tkgrid(netlabel, row = "1", column = "0") + return(netlabel) +} + + +gui_add_close_button <- function(tt, map_and_devices, chosen_node) { + tcltk::tkgrid(tcltk2::tk2label(tt, text = " "), row = "4", column = "1") + tcltk::tkgrid( + tcltk2::tk2button( + tt, + text = "Save and Exit", + command = function() { + plot_estimated_trust( + chosen_node, + map_and_devices$devices + ) + filename <- sprintf( + "images/plots/device-%d-estimated-trust.png", + chosen_node + ) + ggplot2::ggsave(file = filename, width = 7, height = 7, dpi = 320, type = "cairo") + cat(sprintf("Saved estimated trust plot to %s\n", filename)) + cat("Bye.\n") + tcltk::tkdestroy(tt) + quit("no") + } + ), + row = "5", + column = "1" + ) +} + + +write_map <- function(map, save = TRUE) { + cat("Creating map image...\n") + red <- matrix(0, nrow = params$img_height, ncol = params$img_width) + green <- matrix(0, nrow = params$img_height, ncol = params$img_width) + blue <- matrix(0, nrow = params$img_height, ncol = params$img_width) + img <- array( + c(red, green, blue), + dim = c(params$img_height, params$img_width, 3) + ) + width_factor <- ceiling(params$img_width / params$map_width) + height_factor <- ceiling(params$img_height / params$map_height) + for (i in 1:params$map_height) { + for (j in 1:params$map_width) { + cur_tile <- map$get_tile(c(i, j))[[1]] + for (k in 1:height_factor) { + for (l in 1:width_factor) { + img[ + (i - 1) * height_factor + k, + (j - 1) * width_factor + l, + ] <- draw_map(cur_tile) + } + } + } + cat_progress( + i, + params$map_height, + prefix = sprintf("Row %d of %d", i, params$map_height) + ) + } + if (save) { + filename <- sprintf("images/maps/map-%d.png", params$time_now) + png::writePNG(img, filename) + cat(sprintf("Written %s\n", filename)) + } + return(img) +} + + +update_map <- function(time, old_locs, new_locs, img, map, save = TRUE) { + img <- update_map_locs(old_locs, img, map) + img <- update_map_locs(new_locs, img, map) + if (save) { + filename <- sprintf("images/maps/map-%d.png", time) + png::writePNG(img, filename) + } + return(img) +} + + +update_map_locs <- function(locs, img, map) { + width_factor <- ceiling(params$img_width / params$map_width) + height_factor <- ceiling(params$img_height / params$map_height) + for (loc in locs) { + cur_tile <- map$get_tile(loc)[[1]] + for (i in 1:height_factor) { + for (j in 1:width_factor) { + img[ + (loc[[1]] - 1) * height_factor + i, (loc[[2]] - 1) + * width_factor + j, + ] <- draw_map(cur_tile) + } + } + } + return(img) +} + + +draw_map <- function(cur_tile) { + result <- c(0, 0, 0) + if (cur_tile$terrain == WATER) { + result <- c(0.063, 0.612, 0.820) + } else { + result <- c(0.549, 0.761, 0.376) + } + if (cur_tile$signal_edge) { + result <- sapply( + result, + function(i) { + max(0, result[[i]] - 0.1) + } + ) + } + if (length(cur_tile$service_provider)) { + result <- c(0, 1, 0) + } + if (length(cur_tile$base_station)) { + result <- c(0.2, 0.2, 0.2) + } + if (cur_tile$has_devices()) { + dev_class <- class(cur_tile$get_first_dev())[[1]] + if (grepl("Device", dev_class)) { + result <- c(0, 0, 1) + } else if (grepl("Observer", dev_class)) { + result <- c(0.4, 0.4, 0.4) + } else { + result <- c(1, 0, 0) + } + } + return(result) +} + + +create_map_and_devices <- function(map_filename) { + sp <- ServiceProvider$new() + map <- Field$new(read.csv(map_filename, header = F), T) + map$add_service_provider(sp) + return(list(map = map, devices = create_devices(sp, map))) +} + + +create_devices <- function(sp, map) { + cat("Creating devices...\n") + devices <- create_adversaries(sp, map) + devices <- create_honest_nodes(sp, map, devices) + assign_contacts(devices) + i <- length(devices) + 1 + devices[[i]] <- create_observer(i, sp, map) + assign_observer_contacts(devices) + return(devices) +} + + +create_adversaries <- function(sp, map) { + return( + lapply( + seq_len(params$number_adversaries), + function(i) { + cat_progress( + i, + params$number_nodes, + prefix = sprintf("Device %d of %d", i, params$number_nodes) + ) + return(params$adversary_type$new(i, sp, map)) + } + ) + ) +} + + +create_honest_nodes <- function(sp, map, devices) { + for (i in seq_len(params$number_good_nodes)) { + dev_id <- params$number_adversaries + i + cat_progress( + dev_id, + params$number_nodes, + prefix = sprintf("Device %d of %d", i, params$number_nodes) + ) + devices[[dev_id]] <- Device$new(dev_id, sp, map) + } + return(devices) +} + + +create_observer <- function(i, sp, map) { + obs <- Observer$new(i, sp, map) + cat_progress( + i, + params$number_nodes, + prefix = sprintf("Device %d of %d", i, params$number_nodes) + ) + return(obs) +} + + +assign_contacts <- function(devices) { + lapply( + seq_len(length(devices)), + function(i) { + if (i <= params$number_adversaries) { + devices[[i]]$add_contact( + setdiff(1:length(devices), i), + devices + ) + } else { + devices[[i]]$add_contact( + sample( + setdiff(1:length(devices), i), + min(params$contacts_per_node, params$number_nodes - 2) + ), + devices + ) + } + } + ) + if (params$number_adversaries + 1 < params$number_nodes) { + i <- params$number_adversaries + 1 + devices[[i]]$add_contact(setdiff(1:length(devices), i), devices) + } +} + + +assign_observer_contacts <- function(devices) { + adv_ids <- `if`( + params$number_adversaries == 0, + NULL, + 1:params$number_adversaries + ) + num_norm_con <- params$number_observer_contacts - params$number_adversaries - 1 + possible_contacts <- (params$number_adversaries + 2): + (params$number_adversaries + params$number_good_nodes) + devices[[length(devices)]]$add_contact( + c( + `if`( + length(possible_contacts) > 1, + sample( + possible_contacts, + `if`(num_norm_con < 0, 0, num_norm_con) + ), + possible_contacts + ), + `if`(num_norm_con > 0, params$number_adversaries + 1, NULL), + adv_ids + ), + devices + ) + cat( + sprintf( + "The observer has %d contacts where %d %s\n", + length(devices[[length(devices)]]$contacts), + length(adv_ids), + `if`(length(adv_ids) == 1, "is an adversary", "are adversaries") + ) + ) +} + + +set_trusts <- function(devices) { + for (device in devices) { + device$set_trusts() + } +} + + +transact_and_move <- function(devices) { + old_locs <- list() + new_locs <- list() + for (device in devices) { + old_locs[[device$id]] <- device$location + if (device$has_signal()) { + amount_transactions <- params$min_trans:round( + runif(1, min = params$min_trans, max = params$max_trans) + ) + for (i in setdiff(amount_transactions, 0)) { + device$transaction(devices) + } + if (length(setdiff(amount_transactions, 0)) >= 1) { + device$send_rec(devices) + } + } else { + device$transactions(devices, can_transact = FALSE) + } + device$move() + new_locs[[device$id]] <- device$location + } + for (device in devices) { + device$performance_updates() + device$combine_reps() + } + return(list(old_locs, new_locs)) +} + + +plot_estimated_trust <- function(dev_id, devices) { + data <- data.frame( + transactions = seq_len(length(devices[[dev_id]]$estimated_trusts)), + estimated_trusts = devices[[dev_id]]$estimated_trusts + ) + plt <- ggplot2::ggplot(data = data, ggplot2::aes(x = transactions, y = estimated_trusts)) + + ggplot2::labs( + title = `if`( + dev_id == params$number_nodes, + "Estimated Trusts of Device the Observer", + sprintf("Estimated Trusts of Device %d", dev_id) + ), + x = "Time", + y = "Estimated Trust", + colour = NULL + ) + + ggplot2::scale_y_continuous(limits = c(-1.1, 1.1)) + line_colour <- `if`(dev_id <= params$number_adversaries, "red", "blue") + return( + `if`( + length(devices[[dev_id]]$estimated_trusts) > 1, + plt + ggplot2::geom_line(colour = line_colour), + plt + ggplot2::geom_point(colour = line_colour) + ) + ) +} + + +csv_estimated_trust <- function(dev_id, devices) { + write.csv( + data.frame( + transactions = seq_len(length(devices[[dev_id]]$estimated_trusts)), + estimated_trusts = devices[[dev_id]]$estimated_trusts + ), + file = sprintf("%d-estimated-trusts.csv", dev_id), + row.names = FALSE + ) +} + + +plot_network <- function(dev) { + g <- igraph::make_empty_graph() + g <- igraph::add_vertices(g, params$number_adversaries, color = "red", label.color = "white") + g <- igraph::add_vertices(g, params$number_good_nodes, color = "blue", label.color = "white") + g <- igraph::add_vertices(g, 1, color = "gray") + for (i in dev$contacts) { + g <- igraph::add_edges(g, c(dev$id, i)) + } + plot(igraph::as.undirected(g, "collapse")) +} diff --git a/li-19/R/Tile.R b/li-19/R/Tile.R @@ -0,0 +1,73 @@ +Tile <- R6::R6Class( + "Tile", + list( + objects = list(), + obj_ids = NULL, + signals = list(), + terrain = NULL, + base_station = list(), + signal_edge = FALSE, + service_provider = list(), + + initialize = function(terrain) { + self$terrain <- terrain + invisible(self) + }, + + add_device = function(device) { + "Add a device here" + self$objects[[device$id]] <- device + self$obj_ids <- c(self$obj_ids, device$id) + invisible(self) + }, + + add_base_station = function(base_station) { + "Add the base station here" + self$base_station[[1]] <- base_station + invisible(self) + }, + + add_service_provider = function(service_provider) { + self$service_provider[[1]] <- service_provider + invisible(self) + }, + + get_base_station = function() { + "Get the base station from here" + return(self$base_station[[1]]) + }, + + rm_device = function(id) { + "Remove a device from here" + self$objects[[id]] <- 0 + self$obj_ids <- self$obj_ids[self$obj_ids != id] + invisible(self) + }, + + has_devices = function() { + "TRUE if there are devices on this tile, else FALSE" + if (!is.null(self$obj_ids)) { + for (obj_id in self$obj_ids) { + if (!is.numeric(self$objects[obj_id]) && + !is.null(self$objects[obj_id])) { + return(TRUE) + } + } + } + return(FALSE) + }, + + get_first_dev = function() { + return(self$objects[[self$obj_ids[[1]]]]) + }, + + add_signal = function(base_station, is_edge) { + "Add a signal from a base station here" + self$signals[[length(self$signals) + 1]] <- base_station + if (is_edge) { + self$signal_edge <- TRUE + } + invisible(self) + } + ) +) diff --git a/li-19/R/TrustModel.R b/li-19/R/TrustModel.R @@ -0,0 +1,260 @@ +# Compute the probability of a occuring among a, b, and c +compute_probability <- function(a, b, c) { + return(sum(a, 1) / sum(a, b, c, 3)) +} + + +# Compute the entropy from the given probabilities +compute_entropy <- function(probabilities) { + return(-sum(ent_unit(probabilities))) +} + + +# Calculate the small unit of entropy +ent_unit <- function(probability) { + return(probability * log(probability, base = 3)) +} + + +# Do the same as ent_unit but divide the contexts of the log by divider +ent_unit_div <- function(probability, divider) { + return(probability * log(probability / divider, base = 3)) +} + + +# Find the trust of a device given amounts of trusted, distrusted, and unknown +# services they have provided +compute_trust <- function(trust, distrust, unknown) { + prob_trust <- compute_probability(trust, distrust, unknown) + prob_distrust <- compute_probability(distrust, trust, unknown) + prob_unknown <- compute_probability(unknown, trust, distrust) + + if ((prob_trust > prob_unknown) && (prob_unknown >= prob_distrust)) { + return(1 - compute_entropy(c(prob_trust, prob_distrust, prob_unknown))) + } else if ((prob_trust > prob_distrust) && (prob_distrust > prob_unknown)) { + return(1 - abs(ent_unit(prob_trust) + + ent_unit_div(prob_unknown + prob_distrust, 2))) + } else if (prob_unknown >= max(prob_trust, prob_distrust)) { + return(abs(ent_unit(prob_trust) + + ent_unit_div(prob_unknown + prob_distrust, 2)) - 1) + } else if ((prob_distrust >= prob_unknown) && + (prob_unknown >= prob_trust)) { + return(compute_entropy(c(prob_trust, prob_distrust, prob_unknown)) - 1) + } else { + return(abs(ent_unit(prob_distrust) + + ent_unit_div(prob_unknown + prob_trust, 2)) - 1) + } +} + + +# Find the weighted average of the context values (given a vector of one of the 4) +weighted_avg_context <- function(contexts) { + context_latest <- tail(contexts, 1) + factor_forget <- params$theta_i**abs(context_latest - head(contexts, -1)) + return((context_latest + sum(factor_forget * head(contexts, -1))) / + (1 + sum(factor_forget))) +} + + +# Take a vector of the contexts and return the weighted average +find_weighted_context <- function(contexts) { + return( + apply( + matrix( + contexts, + nrow = length(params$context_weights) + ), + 1, + weighted_avg_context + ) + ) +} + + +# Find the distance between the target context, and the weighted context +context_distance <- function(context_target, context_weighted) { + return( + sqrt( + sum( + params$context_weights * (context_target - context_weighted)**2 + ) + ) + ) +} + + +# Estimate how trusted a node will be for the target context +estimate_trust <- function(context_target, context_weighted, trust_current) { + # NOTE: The conditions for the prods have been flipped from the paper + if (trust_current <= 0) { + return( + max( + -1, + trust_current * + prod( + 2 - params$eta[[4]]** + delta( + context_target, + context_weighted, + context_target < context_weighted + ) + ) * + prod( + params$eta[[5]]** + delta( + context_target, + context_weighted, + context_target > context_weighted + ) + ) + ) + ) + } + return( + min( + 1, + trust_current * + prod( + params$eta[[2]]** + delta( + context_target, + context_weighted, + context_target < context_weighted + ) + ) * + prod( + 2 - params$eta[[3]]** + delta( + context_target, + context_weighted, + context_target > context_weighted + ) + ) + ) + ) +} + + +# A function used within the trust estimation +delta <- function(context_target, context_weighted, cond) { + return( + (params$context_weights[cond] * + abs(context_target[cond] - context_weighted[cond])) / + params$impact_factor + ) +} + + +# Calculate a weighted trust +weighted_trust <- function(trust_estimate, trust, distrust, unknown) { + prob_trust <- compute_probability(trust, distrust, unknown) + prob_distrust <- compute_probability(distrust, trust, unknown) + prob_unknown <- compute_probability(unknown, trust, distrust) + + return( + `if`( + prob_trust > max(prob_unknown, prob_distrust), + params$alpha, + `if`( + prob_unknown >= max(prob_trust, prob_distrust) && + prob_unknown != prob_distrust, + params$beta, + params$gamma + ) + ) * trust_estimate + ) +} + + +# Calculate the direct trust +direct_trust <- function(trusts, context_target, context_weighted) { + return(sum(omega(context_weighted, context_target) * trusts)) +} + + +# Calculate the indirect trust +indirect_trust <- function(trusts, reputations, contexts, + context_weighted, context_cached) { + omega_weighted <- omega(context_weighted, contexts) + omega_cached <- omega(context_cached, contexts) + return( + sum(omega_weighted * omega_cached * reputations * trusts) / + sum(omega_weighted) + ) +} + + +# A function used within the indirect and direct trust calculations +omega <- function(context_weighted, context_target) { + return( + params$eta[[1]]**( + apply( + matrix( + context_target, + ncol = length(context_weighted), + byrow = T + ), + 1, + function(c) { + return(context_distance(context_weighted, c)) + } + ) / params$delta + ) + ) +} + + +# Calculate the expected value of change in the trust +trend_of_trust <- function(trust0, trust1, context0, context1) { + return( + `if`( + trust0 == 0, + trust1, + trust1 - + params$eta[[1]]**(context_distance(context1, context0) / + params$delta) + * trust0 + ) + ) +} + + +# Calculate a new reputation value for a service provider +reputation_combination <- function(context_old, context_target, context_new, + reputation_old, reputation) { + omega_new_old <- omega(context_new, context_old) + omega_new_target <- omega(context_new, context_target) + return( + omega_new_old * reputation_old + omega_new_target * params$rho** + `if`( + reputation_old * reputation > 0, + omega_new_old * abs(reputation_old), + 1 - omega_new_old * abs(reputation_old) + ) * reputation + ) +} + + +acceptable_rec <- function(c_cached, c_recced, t_recced) { + return( + abs( + t_recced * + params$eta[[1]]**( + context_distance(c_cached, c_recced) / + params$delta + ) + ) < + params$trust_rep_threshold + params$trust_rep_adj_range + ) +} + + +get_context_index <- function(i) { + con_len <- length(params$context_weights) + return((con_len * (i - 1) + 1):(con_len * i)) +} + + +minimax <- function(x, minima, maxima) { + return(max(minima, min(maxima, x))) +} diff --git a/li-19/R/li19trustmodel-package.R.bak b/li-19/R/li19trustmodel-package.R.bak @@ -0,0 +1,11 @@ +## usethis namespace: start +#' @useDynLib li19trustmodel, .registration = TRUE +## usethis namespace: end + +## usethis namespace: start +#' @importFrom Rcpp sourceCpp evalCpp +## usethis namespace: end + +## usethis namespace: start +#' @import Rcpp +## usethis namespace: end diff --git a/li-19/README.md b/li-19/README.md @@ -0,0 +1,51 @@ +# Li 19 Trust Model + +A simulator of the trust model proposed in Context-Aware Trust Management +System for IoT Applications with Multiple Domains + +![Gif of map](https://gitlab.com/codymlewis/li-19-trust-model/raw/master/map.gif) + + +## Requirements + +- R +- make + +## Set-up + +``` +make deps +make all +``` + +## Configuration + +The parameters may be configured either by altering the json file in `inst/extdata/` +or by specifying a different json file. + +## Running + +For a single command line simulation run: +``` +./Simulation.R +``` + +For a single graphical simulation run: +``` +./GUI.R +``` + +For a batch of simulations across differing numbers of adversaries and types run: +``` +./BatchSimulation.R +``` + +## Pre-push hooks + +``` +ln config/pre-push.sh .git/hooks/pre-push +``` + +## API Reference + +see https://codymlewis.gitlab.io/li-19-trust-model/li19trustmodel.pdf diff --git a/li-19/Simulation.R b/li-19/Simulation.R @@ -0,0 +1,10 @@ +#!/usr/bin/env Rscript + +library(li19trustmodel) + +main <- function() { + run_simulation(500, config="inst/extdata/params.json") + quit("no") +} + +main() diff --git a/li-19/all_context.gif b/li-19/all_context.gif Binary files differ. diff --git a/li-19/config/pre-push.sh b/li-19/config/pre-push.sh @@ -0,0 +1,3 @@ +#!/bin/sh + +make test diff --git a/li-19/inst/extdata/map.csv b/li-19/inst/extdata/map.csv @@ -0,0 +1,500 @@ 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diff --git a/li-19/inst/extdata/params.json b/li-19/inst/extdata/params.json @@ -0,0 +1,45 @@ +{ + "number_nodes": 11, + "number_service_providers": 1, + "signal_radius": 100, + "dev_signal_radius": 14, + "max_number_contacts": 100, + "init_reputation": 0.01, + "rep_self": 1, + "trust_new_contact": 0, + "trust_rep_threshold": 0, + "trend_threshold": 0.01, + "trust_rep_adj_range": 0.001, + "sp_ground_trust": 1, + "max_capability": 100, + "map_width": 100, + "map_height": 100, + "max_velocity": 10, + "time_now": 1, + "context_weights": [0.3, 0.2, 0.4, 0.1], + "eta": [0.95, 0.7, 0.5, 0.5, 0.7], + "alpha": 0.3, + "beta": 0.3, + "gamma": 0.8, + "rho": 0.1, + "delta": 0.8, + "delta_a": -0.001, + "p_r": 1, + "theta_i": 0.8, + "impact_factor": 1, + "eta_i": 1, + "gap_factor": 0.5, + "min_trans": 1, + "max_trans": 1, + "compression_factor": -1, + "number_adversaries": 8, + "adversary_type": "BadMouther", + "contacts_per_node": 10, + "rand_context": false, + "number_observer_contacts": 10, + "tdu_increment": 100, + "observer_targeted": true, + "target_location": [20, 60], + "target_capability": 50, + "target_velocity": 5 +} diff --git a/li-19/man/batch_simulation.Rd b/li-19/man/batch_simulation.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Simulation.R +\name{batch_simulation} +\alias{batch_simulation} +\title{Run a batch of simulations in a console interface} +\usage{ +batch_simulation( + total_time, + map_filename = system.file("extdata", "map.csv", package = "li19trustmodel"), + config = system.file("extdata", "params.json", package = "li19trustmodel"), + num_adversaries = c(0, 2, 5, 8, 10), + adversary_types = c("BadMouther", "ContextSetter"), + colours = c("blue", "red", "green", "orange", "purple") +) +} +\description{ +Simulate the trust model and the mobile network and iterate for an amount +of time for differing amounts of adversaries +} +\keyword{model} +\keyword{run} +\keyword{simulate} +\keyword{simulation} +\keyword{trust} diff --git a/li-19/man/run_gui.Rd b/li-19/man/run_gui.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Simulation.R +\name{run_gui} +\alias{run_gui} +\title{Run the simulation in a graphical interface} +\usage{ +run_gui( + map_filename = system.file("extdata", "map.csv", package = "li19trustmodel"), + config = system.file("extdata", "params.json", package = "li19trustmodel") +) +} +\description{ +Simulate the trust model and the mobile network and iterate +} +\keyword{model} +\keyword{run} +\keyword{simulate} +\keyword{simulation} +\keyword{trust} diff --git a/li-19/man/run_simulation.Rd b/li-19/man/run_simulation.Rd @@ -0,0 +1,22 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Simulation.R +\name{run_simulation} +\alias{run_simulation} +\title{Run the simulation in a console interface} +\usage{ +run_simulation( + total_time, + map_filename = system.file("extdata", "map.csv", package = "li19trustmodel"), + config = system.file("extdata", "params.json", package = "li19trustmodel"), + write_plots = TRUE +) +} +\description{ +Simulate the trust model and the mobile network and iterate for an amount +of time +} +\keyword{model} +\keyword{run} +\keyword{simulate} +\keyword{simulation} +\keyword{trust} diff --git a/li-19/map.gif b/li-19/map.gif Binary files differ. diff --git a/li-19/mapgif b/li-19/mapgif @@ -0,0 +1,5 @@ +#!/usr/bin/env bash + +echo "Creating gif..." +magick -delay 10 -loop 0 $(ls images/maps/*.png | sort -V) map.gif +echo "Done. Written map.gif" diff --git a/li-19/public/index.html b/li-19/public/index.html @@ -0,0 +1,162 @@ +<!doctype html> +<html lang="en"> + <head> + <meta charset="utf-8"> + <meta name="viewport" content="width=device-width, initial-scale=1"> + <title>Create Map</title> + </head> + <body> + <h1 style="text-align:center">Create Map</h1> + <canvas style="margin-left:5%; margin-right:5%" width=1600 height=800 id="map"></canvas> + <button id="tocpp" style="margin-left:5%; margin-right:5%" >To C++</button> + <button id="tocsv" style="margin-left:5%; margin-right:5%" >To CSV</button> + </body> + <script> + var mapCanvas = document.getElementById('map'); + var mapCtx = mapCanvas.getContext('2d'); + + class Map { + constructor(width, height) { + this.tiles = []; + this.width = width; + this.height = height; + for (var i = 0; i < this.height; ++i) { + var row = []; + for (var j = 0; j < this.width; ++j) { + row[j] = 0; + } + this.tiles[i] = row; + } + } + + toX(x) { + return Math.floor(map.width * x / mapCanvas.width); + } + + toY(y) { + return Math.floor(map.height * y / mapCanvas.height); + } + + cycle(x, y, addWidth, addHeight, cycleTo) { + for (var i = 0; i < addWidth && x + i < this.width; ++i) { + for (var j = 0; j < addHeight && y + j < this.height; ++j) { + this.tiles[y + j][x + i] = cycleTo; + } + } + } + + toFile() { + var file = "#include <vector>\n"; + file += "#include \"GetData.h\"\n\n"; + file += "std::vector<std::vector<int>> li19trustmodel::get_data()\n"; + file += "{\n"; + file += "\tstd::vector<std::vector<int>> v;\n"; + for (var i in this.tiles) { + file += "\tv.push_back({"; + for (var j in this.tiles[i]) { + file += `${this.tiles[i][j]},`; + } + file = file.slice(0, -1); + file += "});\n"; + } + return file + "\treturn v;\n}"; + } + + toCSV() { + var file = ""; + for (var i in this.tiles) { + for (var j in this.tiles[i]) { + file += `${this.tiles[i][j]},`; + } + file = file.slice(0, -1) + "\n"; + } + return file.slice(0, -1); + } + } + + var map = new Map(500, 500); + + window.onload = () => { + drawMap(); + } + + function drawMap() { + for (var y in map.tiles) { + for (var x in map.tiles[y]) { + drawTile(x, y); + } + } + } + + function drawTile(x, y, addWidth=1, addHeight=1) { + switch (map.tiles[y][x]) { + case 0: + mapCtx.fillStyle = "#00FF00"; + break; + case 1: + mapCtx.fillStyle = "#0000FF"; + break; + } + mapCtx.fillRect( + x * (mapCanvas.width / map.width), + y * (mapCanvas.height / map.height), + addWidth * mapCanvas.width / map.width, + addHeight * mapCanvas.height / map.height + ); + } + + var interval = ''; + var colouring = false; + var cycleToMode = 0; + + mapCanvas.addEventListener("mousedown", (e) => { + colouring = true; + coords = getXYCanvas(e); + cycleToMode = (map.tiles[coords.y][coords.x] + 1) % 2; + }, false); + + mapCanvas.addEventListener("mouseup", () => { + colouring = false; + }, false); + + mapCanvas.addEventListener("mouseleave", () => { + colouring = false; + }, false); + + var fillSize = 12; + + function getXYCanvas(e) { + var rect = mapCanvas.getBoundingClientRect(); + var x = map.toX(e.clientX - rect.left); + var y = map.toY(e.clientY - rect.top); + return {x: x, y: y}; + } + + mapCanvas.addEventListener("mousemove", (e) => { + if (colouring) { + coords = getXYCanvas(e); + map.cycle( + Math.max(0, coords.x - fillSize), + Math.max(0, coords.y - fillSize), + 2 * fillSize, + 2 * fillSize, cycleToMode + ); + drawTile( + Math.max(0, coords.x - fillSize), + Math.max(0, coords.y - fillSize), + 2 * fillSize, + 2 * fillSize + ); + } + }, false); + + document.getElementById("tocpp").addEventListener("click", () => { + var fileBlob = new Blob([map.toFile()], { type: 'text/plain' }) + window.location.href = window.URL.createObjectURL(fileBlob); + }) + document.getElementById("tocsv").addEventListener("click", () => { + var fileBlob = new Blob([map.toCSV()], { type: 'text/plain' }) + window.location.href = window.URL.createObjectURL(fileBlob); + }) + </script> +</html> diff --git a/li-19/public/li19trustmodel.pdf b/li-19/public/li19trustmodel.pdf Binary files differ. diff --git a/li-19/sum_context.gif b/li-19/sum_context.gif Binary files differ. diff --git a/li-19/tests/testthat.R b/li-19/tests/testthat.R @@ -0,0 +1,4 @@ +library(testthat) +library(li19trustmodel) + +test_check("li19trustmodel") diff --git a/li-19/tests/testthat/test-basestation.R b/li-19/tests/testthat/test-basestation.R @@ -0,0 +1,36 @@ +test_that("add neighbour works", { + b1 <- BaseStation$new(1, 1) + b2 <- BaseStation$new(2, 2) + b1$add_neighbour(b2) + expect_equal(c(1, 1), b2$neighbours[[1]]$location) + expect_equal(c(2, 2), b1$neighbours[[1]]$location) +}) + + +test_that("routing works", { + params$number_nodes <<- 2 + b1 <- BaseStation$new(1, 1) + b2 <- BaseStation$new(2, 2) + b3 <- BaseStation$new(3, 3) + b1$add_neighbour(b2) + b2$add_neighbour(b3) + sp <- ServiceProvider$new() + d <- Device$new(1, sp, NULL) + b1$connect(d) + expect_equal(b1$table$hops[[d$id]], 0) + expect_equal(b2$table$hops[[d$id]], Inf) + b1$retabulate(d) + b1$finish_update() + expect_equal(b2$table$hops[[d$id]], 1) + expect_equal(b3$find_device(d$id)$id, d$id) + b1$disconnect(d) + b1$retabulate(d) + b1$finish_update() + expect_equal(b1$table$hops[[d$id]], Inf) + b2$connect(d) + b2$retabulate(d) + b2$finish_update() + expect_equal(b1$table$hops[[d$id]], 1) + expect_equal(b3$find_device(d$id)$id, d$id) + params$number_nodes <<- 200 +}) diff --git a/li-19/tests/testthat/test-calculations.R b/li-19/tests/testthat/test-calculations.R @@ -0,0 +1,182 @@ +test_that("probability works", { + a <- 5 + b <- 3 + c <- 2 + expect_that(compute_probability(a, b, c), equals(6 / 13)) +}) + +test_that("entropy unit works", { + probability <- 1:5 + expect_that( + ent_unit(probability), + equals( + c(0, 1.2618595071429148, 3, 5.047438028571659, 7.3248676035896345) + ) + ) +}) + +test_that("entropy works", { + probability <- 1:5 + expect_that(compute_entropy(probability), equals(-16.63416513930421)) +}) + +test_that("entropy unit divided works", { + probability <- 1:5 + expect_that( + ent_unit_div(probability, 2), + equals( + c( + -0.6309297535714574, + 0, + 1.1072107392856276, + 2.5237190142858297, + 4.170218835732348 + ) + ) + ) +}) + +test_that("compute trust works", { + a <- 5 + b <- 3 + c <- 2 + expect_that(compute_trust(a, b, c), equals(0.03203451826247661)) + expect_that(compute_trust(b, a, c), equals(-0.03203451826247661)) + expect_that(compute_trust(b, c, a), equals(-0.0013648071755567592)) + expect_that(compute_trust(a, c, b), equals(0.03705298)) + expect_that(compute_trust(c, a, b), equals(-0.03705298)) +}) + +test_that("weighted average context works", { + expect_that( + weighted_avg_context(c(0.2, 0.3, 0.1, 0.5, 0.6)), + equals(0.34769794209818133) + ) +}) + +test_that("context distance works", { + expect_that( + context_distance( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1) + ), + equals(0.3563705936241092) + ) +}) + +test_that("estimate trust works", { + expect_that( + estimate_trust( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + 0.1 + ), + equals(0.09330239773694914) + ) + expect_that( + estimate_trust( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + -0.1 + ), + equals(-0.1167438402791883) + ) +}) + +test_that("delta works", { + expect_that( + delta( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + T + ), + equals(c(0.029999999999999992, 0.04000000000000001, 0.2, 0.04)) + ) +}) + +test_that("weighted trust works", { + a <- 5 + b <- 3 + c <- 2 + expect_that( + weighted_trust(0.1, a, b, c), + equals(0.03) + ) + expect_that( + weighted_trust(0.1, b, c, a), + equals(0.03) + ) + expect_that( + weighted_trust(0.1, c, a, a), + equals(0.08) + ) +}) + +test_that("direct trust works", { + expect_that( + direct_trust( + 0.1, + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1) + ), + equals(0.09774097906001301) + ) +}) + +test_that("indirect trust works", { + expect_that( + indirect_trust( + 0.1, + 0.1, + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + c(0.3, 0.5, 0.6, 0.1) + ), + equals(0.009774097906001301) + ) +}) + +test_that("omega works", { + expect_that( + omega( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1) + ), + equals(0.9774097906001301) + ) +}) + +test_that("trend of trust works", { + expect_that( + trend_of_trust( + 0.1, + 0.1, + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1) + ), + equals(0.0022590209399869915) + ) +}) + +test_that("reputation combination works", { + expect_that( + reputation_combination( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + c(0.3, 0.5, 0.6, 0.1), + 0.1, + 0.1 + ), + equals(0.1775880558) + ) + expect_that( + reputation_combination( + c(0.2, 0.3, 0.1, 0.5), + c(0.3, 0.5, 0.6, 0.1), + c(0.3, 0.5, 0.6, 0.1), + 0.1, + -0.1 + ), + equals(0.08521704) + ) +}) diff --git a/li-19/tests/testthat/test-device.R b/li-19/tests/testthat/test-device.R @@ -0,0 +1,93 @@ +is_equal <- function(...) { + return(isTRUE(all.equal(...))) +} + +params$map_width <<- 3 +params$map_height <<- 3 +params$number_nodes <<- 3 +map_data <- data.frame( + rep(LAND, 3), rep(LAND, 3), rep(WATER, 3) +) +f <- Field$new(map_data) +sp <- ServiceProvider$new() +d <- Device$new(1, sp, f, c(1, 1)) + +test_that("device creation works", { + expect_equal(d$id, 1) + expect_equal(d$time_last_moved, params$time_now - 1) + expect_equal(d$trust, rep(0, params$number_nodes)) + expect_equal(d$distrust, rep(0, params$number_nodes)) + expect_equal(d$unknown, rep(0, params$number_nodes)) +}) + + +test_that("trust update works", { + d$sp_trust_increment() + expect_equal(d$sp_trust[[1]], 1) +}) + + +test_that("distrust update works", { + d$sp_distrust_increment() + expect_equal(d$sp_distrust[[1]], 1) +}) + + +test_that("unknown update works", { + d$sp_unknown_increment() + expect_equal(d$sp_unknown[[1]], 1) +}) + + +test_that("recieving observations works", { + context <- c(1, 1, 1, 1) + obs <- Observation$new(context, 1, 1) + d$recieve_observation(obs) + expect_equal(tail(d$contexts[[1]], 4), obs$context) +}) + + +test_that("has signal works", { + expect_equal(d$has_signal(), T) +}) + + +test_that("goal setting works", { + expect_true(all(d$current_goal >= c(1, 1))) + expect_true(all(d$current_goal <= f$shape())) + d$new_goal() + expect_true(all(d$current_goal >= c(1, 1))) + expect_true(all(d$current_goal <= f$shape())) +}) + + +test_that("moving works", { + init_goal <- c(3, 2) + init_velocity <- 1 + init_basestation_id <- d$get_signals()[[1]]$location + init_tile_node_count <- length(f$get_tile(c(1, 1))[[1]]$objects) + init_next_tile_node_count <- length(f$get_tile(c(2, 2))[[1]]$objects) + d$current_goal <- init_goal + d$velocity <- init_velocity + d$move() + expect_equal(d$location, c(2, 2)) + expect_equal(d$time_last_moved, params$time_now) + expect_equal(init_basestation_id, d$get_signals()[[1]]$location) + expect_false(is_equal(d$velocity, init_velocity)) + params$increment_time() + d$velocity <- init_velocity + d$move() + expect_equal(d$location, c(3, 2)) + expect_equal(d$time_last_moved, params$time_now) + expect_equal(init_basestation_id, d$get_signals()[[1]]$location) + expect_false(is_equal(d$current_goal, init_goal)) + expect_false(is_equal(d$velocity, init_velocity)) +}) + +test_that("adding contacts works", { + d2 <- Device$new(2, sp, f, c(2, 2)) + devs <- c(d, d2) + d$add_contact(2, devs) + expect_equal(d$contacts[[1]], 2) + expect_equal(d2$contacts[[1]], 1) +}) diff --git a/li-19/tests/testthat/test-field.R b/li-19/tests/testthat/test-field.R @@ -0,0 +1,11 @@ +test_that("creation works", { + params$map_width <<- 3 + params$map_height <<- 3 + map_data <- data.frame( + rep(LAND, 3), rep(LAND, 3), rep(WATER, 3) + ) + f <- Field$new(map_data) + expect_equal(f$shape(), c(3, 3)) + params$map_width <<- 500 + params$map_height <<- 500 +}) diff --git a/li-19/tests/testthat/test-functions.R b/li-19/tests/testthat/test-functions.R @@ -0,0 +1,10 @@ +test_that("Euclidean distance works", { + expect_equal(sqrt(2), euc_dist(c(0, 0), c(1, 1))) + expect_equal(2, euc_dist(c(0, 0), c(1, sqrt(3)))) +}) + + +test_that("compute gap works", { + r <- 5 + expect_equal(round(sqrt(2 * r**2) * params$gap_factor), compute_gap(r)) +}) diff --git a/li-19/tests/testthat/test-normalizers.R b/li-19/tests/testthat/test-normalizers.R @@ -0,0 +1,51 @@ +test_that("time normalizer works", { + time <- 5 + expect_that( + time, + equals(normalize_time(time)) + ) +}) + + +test_that("capability normalizer works", { + cap <- 70 + expect_that( + 1 - (cap / params$max_capability), + equals(normalize_capability(cap)) + ) +}) + + +test_that("location normalizer works", { + loc <- 30 + expect_that( + 1 - (loc / sqrt(params$map_width**2 + params$map_height**2)), + equals(normalize_location(loc)) + ) +}) + + +test_that("velocity normalizer works", { + vel <- 5 + expect_that( + 1 - (vel / params$max_velocity), + equals(normalize_velocity(vel)) + ) +}) + + +test_that("context normalizer works", { + time <- 5 + cap <- 70 + loc <- 30 + vel <- 5 + expect_that( + c( + time, + 1 - (cap / params$max_capability), + 1 - (loc / sqrt(params$map_width**2 + params$map_height**2)), + 1 - (vel / params$max_velocity) + ), + equals(normalize(c(time, cap, loc, vel))) + ) +}) diff --git a/li-19/tests/testthat/test-observation.R b/li-19/tests/testthat/test-observation.R @@ -0,0 +1,9 @@ +test_that("fields works", { + context <- c(5, 70, 30, 5) + trust <- 1 + id_sender <- 1 + obs <- Observation$new(context, trust, id_sender) + expect_equal(context, obs$context) + expect_equal(trust, obs$trust) + expect_equal(id_sender, obs$id_sender) +}) diff --git a/li-19/tests/testthat/test-serviceprovider.R b/li-19/tests/testthat/test-serviceprovider.R @@ -0,0 +1,4 @@ +test_that("provide service works", { + sp <- ServiceProvider$new() + expect_equal(TRUSTED, sp$provide_service()) +}) diff --git a/li-19/tests/testthat/test-tile.R b/li-19/tests/testthat/test-tile.R @@ -0,0 +1,28 @@ +test_that("terrain assignment works", { + expect_equal(Tile$new(LAND)$terrain, LAND) +}) + +test_that("device storing works", { + params$number_nodes <<- 200 + sp <- ServiceProvider$new() + d <- Device$new(1, sp, NULL) + t <- Tile$new(LAND) + t$add_device(d) + expect_equal(t$objects[[d$id]]$id, d$id) + t$rm_device(d$id) + expect_false(t$has_devices()) +}) + +test_that("base station storing works", { + b <- BaseStation$new(1, 1) + t <- Tile$new(LAND) + t$add_base_station(b) + expect_equal(c(1, 1), t$get_base_station()$location) +}) + +test_that("signal works", { + b <- BaseStation$new(1, 1) + t <- Tile$new(LAND) + t$add_signal(b, F) + expect_equal(c(1, 1), t$signals[[1]]$location) +}) diff --git a/li-19/wam.R b/li-19/wam.R @@ -0,0 +1,50 @@ +#!/usr/bin/env Rscript + +sum.con <- function(x, c, i, t.i) +{ + l <- x[[i]] + m <- t.i ** abs(l - c[[i - 1]]) + return ((l + m*c[[i - 1]]) / (1 + m)) +} + + +all.con <- function(x, c, i, t.i) +{ + l <- x[[i]] + m <- t.i ** abs(l - x[1:(i - 1)]) + return ((l + sum(m * x[1:(i - 1)])) / (1 + sum(m))) +} + + +main <- function() +{ + theta.i <- 0.8 + x <- runif(1000) + # x <- 1:1000 + for (theta.i in seq(0, 1, 0.05)) { + c <- 0 + xlab <- "Number Summaries" + ylab <- "Weighted-Average Context" + for (i in 2:length(x)) { + c[[i]] <- sum.con(x, c, i, theta.i) + } + ylim <- c(0, `if`(log(max(c), base=10) <= 0, 1, max(c))) + filename <- sprintf("img/sum_context_%f.png", theta.i) + png(filename) + plot(c, ylim=ylim, main="Summarised context summarization", xlab=xlab, ylab=ylab) + dev.off() + cat(sprintf("Wrote %s\n", filename)) + + for (i in 2:length(x)) { + c[[i]] <- all.con(x, c, i, theta.i) + } + filename <- sprintf("img/all_context_%f.png", theta.i) + png(filename) + plot(c, ylim=ylim, main="All context summarization", xlab=xlab, ylab=ylab) + dev.off() + cat(sprintf("Wrote %s\n", filename)) + } +} + + +main() diff --git a/saied-13/Distances_with_restrictons.png b/saied-13/Distances_with_restrictons.png Binary files differ. diff --git a/saied-13/Distances_without_restrictons.png b/saied-13/Distances_without_restrictons.png Binary files differ. diff --git a/saied-13/LICENSE b/saied-13/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 Cody Lewis + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/saied-13/PlotDist.py b/saied-13/PlotDist.py @@ -0,0 +1,60 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +''' +Plot the distance equation, to see the effects of context setting attacks on +the returned values. + +Author: Cody Lewis +Date: 2019-06-25 +''' + +import matplotlib.pyplot as plt +import numpy as np + + +def dsq(target, j): + '''give the 1d distance squared between the target and j''' + return np.abs(target - j)**2 + +def dist(St, C_vals, Sj, Cj, eta=1): + '''Give the distance values''' + Cmax = 101 + Smax = 101 + distances = [] + + for Ct in C_vals: + dSmaxsq = dsq(St, Smax) + dCmaxsq = dsq(Ct, Cmax) + distances.append( + min( + np.sqrt( + (dSmaxsq + dCmaxsq) * + ((dsq(St, Sj) / dSmaxsq) + (dsq(Ct, Cj) / dCmaxsq)) + ), + np.sqrt( + (dSmaxsq + dCmaxsq) * + ( + ((Cmax - Cj) / (Cmax - (Ct - eta)))**2 + + (Sj / (St + eta))**2 + ) + ) + ) + ) + + return np.array(distances) + +if __name__ == '__main__': + SERVICES = [1, 16, 33, 50, 66, 82, 100] + C_vals = np.arange(1, 101) + Cj = 50 + service_line = dict() + for Sj in SERVICES: + plt.plot(C_vals, dist(Sj, C_vals, Sj, Cj), label=f"Service {Sj}") + + plt.title("Ranges of Distance with Perfect service and Capability Setting") + plt.xlabel("Capability Target") + plt.ylabel("Distance") + plt.legend() + + plt.show() diff --git a/saied-13/PlotQR.py b/saied-13/PlotQR.py @@ -0,0 +1,40 @@ +#!/usr/bin/env python3 + +import argparse +import matplotlib.pyplot as plt + +def find_ci(theta, time1, timei): + return theta**(time1 - timei) + +def find_n_qr(qrs, times, theta, cxf): + numerator = 0 + denominator = 0 + for qr, time in zip(qrs, times): + ci = find_ci(theta, times[0], time) + numerator += ci * qr + cxf + denominator += ci + abs(cxf) + return numerator / denominator + +if __name__ == '__main__': + PARSER = argparse.ArgumentParser(description="Show how the QR calculation changes over time") + PARSER.add_argument("-e", "--epochs", dest="epochs", type=int, + action="store", default=500, + help="The number of epochs to run for [default 500]") + PARSER.add_argument("-u", "--update", dest="update", type=float, + action="store", default=0, + help="Amount to update the QR by at each epoch") + ARGS = PARSER.parse_args() + QRS = [1] + TIMES = [0] + THETA = 0.7 + for i in range(0, ARGS.epochs): + QRS.insert(0, find_n_qr(QRS, TIMES, THETA, ARGS.update)) + TIMES.insert(0, i) + + QRS.reverse() + TIMES.reverse() + plt.plot(TIMES, QRS) + FILENAME = "qrchanges.png" + plt.savefig(FILENAME) + print(f"Plot saved to {FILENAME}") + plt.show() diff --git a/saied-13/README.md b/saied-13/README.md @@ -0,0 +1,17 @@ +# Trust Model Simulator + +A simulator of an IoT trust model based on http://people.cs.vt.edu/~irchen/5984/pdf/Saied-CS14.pdf +used to show the effects of context based attacks on the system. + +## Requirements +- R + +## Configuration +``` +Rscript requirements.r +``` + +## Running +``` +cd src && ./RunAttacks +``` diff --git a/saied-13/requirements.r b/saied-13/requirements.r @@ -0,0 +1,8 @@ +#!/usr/bin/env Rscript + +r = getOption("repos") +r["CRAN"] = "https://cran.csiro.au/" +options(repos = r) +rm(r) + +install.packages(c("shiny", "ggplot2", "testthat", "optparse")) diff --git a/saied-13/src/ConsoleInterface.r b/saied-13/src/ConsoleInterface.r @@ -0,0 +1,240 @@ +#!/usr/bin/env -S Rscript --vanilla + +# The main console interface fo the trust model +# +# Author: Cody Lewis +# Date: 2019-05-03 + +library("optparse") + +source("TrustModel.r") +source("Functions.r") + +# Find the malicious typing specified in the arguments +find.malicious.type <- function(opt) { + malicious.type = "" + if(opt$bad_mouth) { + malicious.type = paste(malicious.type, "bm", sep="") + } else if(opt$good_mouth) { + malicious.type = paste(malicious.type, "gm", sep="") + } else if(opt$on_off) { + malicious.type = paste(malicious.type, "oo", sep="") + } + if(opt$service_set) { + malicious.type = paste(malicious.type, "ss", sep="") + } + if(opt$capability_set) { + malicious.type = paste(malicious.type, "cs", sep="") + } + if(opt$time_decay) { + malicious.type = paste(malicious.type, "td", sep="") + } + + return(malicious.type) +} + +# Give a list detailing the attack types to perform based on the input string +parse.type.calc.string <- function(type.calc.string) { + if(type.calc.string == "normal") { + return(list(LOCAL, NORMAL, FALSE, FALSE, FALSE)) + } + if(grepl("n", type.calc.string)) { + if(grepl("c", type.calc.string)) { + type.detection = CN + } else { + type.detection = N + } + } else if(grepl("mc", type.calc.string)) { + type.detection = MC + } else if(grepl("c", type.calc.string)) { + type.detection = C + } else if(grepl("r", type.calc.string)) { + type.detection = R + } else { + type.detection = NORMAL + } + return( + list( + `if`(grepl("g", type.calc.string), GLOBAL, LOCAL), + type.detection, + grepl("a", type.calc.string), # disregard causes note negation + grepl("s", type.calc.string), # Split calculations + grepl("q", type.calc.string) # disregard also punishes QR + ) + ) +} + +# The main program flow +main <- function() { + option_list <- list( + make_option(c("--bad_mouth"), action="store_true", default=FALSE, + help="Malicious nodes perform the bad mouthing attack"), + make_option(c("--good_mouth"), action="store_true", default=FALSE, + help="Malicious nodes perform the good mouthing attack"), + make_option(c("--on_off"), action="store_true", default=FALSE, + help="Malicious nodes perform the on-off attack"), + make_option(c("--service_set"), action="store_true", default=FALSE, + help="Malicious nodes perform the service setting attack (along with mouthing, they always report a particular service value)"), + make_option(c("--capability_set"), action="store_true", default=FALSE, + help="Malicious nodes perform the capability setting attack (along with mouthing, they always report a particular capability value)"), + make_option(c("--time_decay"), action="store_true", default=FALSE, + help="Malicious nodes perform the time decay attack (along with mouthing, they always report a reduced time value)"), + make_option(c("--theta", "-t"), type="double", default=0.7, + help="Value for theta [default %default]"), + make_option(c("--lambda", "-l"), type="double", default=0.7, + help="Value for lambda [default %default]"), + make_option(c("--eta", "-e"), type="integer", default=1, + help="Value for eta [default %default]"), + make_option(c("--total_nodes"), type="integer", default=200, + help="Number of nodes in the simulated network [default %default]"), + make_option(c("--transactions"), type="integer", default=300, + help="Number of transactions to simulate [default %default]"), + make_option(c("--poor_witnesses", "-p"), type="double", default=0.2, + help="Percentage of poor witnesses in decimal form [default %default]"), + make_option(c("--constrained", "-c"), type="double", default=0.5, + help="Percentage of constrained nodes in decimal form [default %default]"), + make_option(c("--malicious"), type="double", default=0.1, + help="Percentage of malicious nodes to start with [default %default]"), + make_option(c("--malicious_start"), type="double", default=0, + help="Percentage of malicious reporting nodes to start with [default %default]"), + make_option(c("--malicious_end"), type="double", default=1, + help="Percentage of malicious reporting nodes to end with [default %default]"), + make_option(c("--malicious_jump"), type="double", default=0.05, + help="Percentage of malicious reporting nodes to increment by [default %default]"), + make_option(c("--reputation", "-r"), type="double", default=-1, + help="Reputation threshold, nodes in the network that fall below this are no longer considered in the network"), + make_option(c("--targeted", "-ta"), action="store_true", default=FALSE, + help="Analyze the targeted effects of an attack"), + make_option(c("--type_calc"), type="character", default="normal", + help="Assign a type of calculation for report relevance the first letter states local or global (l, g), and the second states whether to detect based on notes or notes and context (n, c) [default %default]"), + make_option(c("--time_change", "-tc"), type="integer", + action="store", default=60, + help="The number epochs to increment the time at. [default %default]"), + make_option(c("--disregard_multiplier", "-dm"), action="store", + type="double", default=1, + help="Amount to multiply disregarded reports effects on QR [default %default]") + ) + parser <- OptionParser(usage="%prog [options]", option_list=option_list) + args <- parse_args(parser, positional_arguments=0) + opt <- args$options + + type.malicious = find.malicious.type(opt) + type.calc = parse.type.calc.string(opt$type_calc) + + dir.create("./graphs", showWarnings=FALSE) + status.alt = opt$type_calc + dir.create( + sprintf("./graphs/%d", opt$total_nodes), showWarnings=FALSE + ) + dir.create( + sprintf("./graphs/%d/%s", opt$total_nodes, status.alt), + showWarnings=FALSE + ) + dir.create( + sprintf( + "./graphs/%d/%s/%f", opt$total_nodes, status.alt, opt$reputation + ), + showWarnings=FALSE + ) + dir.create( + sprintf( + "./graphs/%d/%s/%f/%s", + opt$total_nodes, + status.alt, + opt$reputation, + type.malicious + ), + showWarnings=FALSE + ) + malicious.increments = seq( + opt$malicious_start, opt$malicious_end, by=opt$malicious_jump + ) + for(percent.malicious.reporters in malicious.increments) { + tm <- TrustManager( + eta=opt$eta, + lambda=opt$lambda, + theta=opt$theta, + service.max=100, + capability.max=100, + reputation.threshold=opt$reputation, + QR.initial=1 + ) + tm$init( + number.nodes=opt$total_nodes, + percent.constrained=opt$constrained, + percent.poorwitness=opt$poor_witnesses, + percent.malicious=opt$malicious, + percent.malicious.reporter=percent.malicious.reporters, + type.malicious=type.malicious, + targeted=opt$targeted, + type.calc=type.calc, + disregard.multiplier=opt$disregard_multiplier + ) + epochs.total <- opt$transactions + time.current <- 0 + cat( + sprintf( + "Performing %d transactions in the network, with %f%% %s with calculation %s\n", + epochs.total, + percent.malicious.reporters * 100, + type.malicious, + status.alt + ) + ) + for(epoch in 1:epochs.total) { + if((epoch %% opt$time_change) == 0) { + time.current <- time.current + 1 + } + tm$phase(opt$total_nodes * 5, time.current) + cat.progress( + epoch, + epochs.total, + prefix=sprintf("%d/%d epochs completed", epoch, epochs.total) + ) + } + loc.save = sprintf( + "total_nodes=%d/calc_type=%s/dis_mul=%f/rep_threshold=%f/mal_type=%s/mal_rep_per=%f", + opt$total_nodes, + status.alt, + opt$disregard_multiplier, + opt$reputation, + type.malicious, + percent.malicious.reporters * 100 + ) + dir.create( + sprintf("./graphs/%s", loc.save), + recursive=TRUE, + showWarnings=FALSE + ) + plot.nodes( + c( + tm$nodes[[tm$id.nodemon.normal]], + tm$nodes[[tm$id.nodemon.malicious]] + ) + ) + graph.save(sprintf("%s/qr_changes.png", loc.save)) + plot.trust(tm$nodes) + graph.save(sprintf("%s/trust.png", loc.save)) + plot.QRs.final(tm$nodes) + graph.save(sprintf("%s/final_qrs.png", loc.save)) + status.plt = `if`( + opt$targeted, + plot.trust.targeted(tm$nodes, epochs.total), + plot.trust.mean(tm$nodes, epochs.total) + ) + if(!is.na(status.plt)) { + graph.save(sprintf("%s/targeted_trust.png", loc.save)) + } + node.group.samples = c( + sample(1:floor(length(tm$nodes) / 6.6), 5), + sample(ceiling(length(tm$nodes) / 6.6):length(tm$nodes), 5) + ) + for(id.node in node.group.samples) { + plot.node.trust(tm$nodes[[id.node]], length(tm$nodes)) + graph.save(sprintf("%s/node_%d_trust.png", loc.save, id.node)) + } + rm(tm) + } +} + +main() diff --git a/saied-13/src/Functions.r b/saied-13/src/Functions.r @@ -0,0 +1,49 @@ +#!/usr/bin/env Rscript + +# Create a progress bar +cat_progress <- function(current, total, progress_len=31, prefix="") { + progress = floor(100 * current / total) + progress_bar_progress = floor(progress_len * progress * 0.01) + if(progress_bar_progress != 0) { + unprogressed = progress_len - progress_bar_progress + } else { + unprogressed = progress_len - 1 + } + progress_bar = "[" + progress_bar = paste( + c( + progress_bar, + `if`(progress_bar_progress - 2 > 0, + rep("=", progress_bar_progress - 2), ""), + `if`(unprogressed > 0, ">", "=") + ), + collapse="" + ) + progress_bar = paste(c(progress_bar, rep(".", unprogressed), "]"), collapse="") + progress_percent = paste(c(progress, "%", `if`(progress == 100, "\n", "")), collapse="") + cat(sprintf("\r%s %s %s", prefix, progress_bar, progress_percent), end="\r") +} + +# Create a progress bar +cat.progress <- function(current, total, progress_len=31, prefix="") { + progress = floor(100 * current / total) + progress_bar_progress = floor(progress_len * progress * 0.01) + if(progress_bar_progress != 0) { + unprogressed = progress_len - progress_bar_progress + } else { + unprogressed = progress_len - 1 + } + progress_bar = "[" + progress_bar = paste( + c( + progress_bar, + `if`(progress_bar_progress - 2 > 0, + rep("=", progress_bar_progress - 2), ""), + `if`(unprogressed > 0, ">", "=") + ), + collapse="" + ) + progress_bar = paste(c(progress_bar, rep(".", unprogressed), "]"), collapse="") + progress_percent = paste(c(progress, "%", `if`(progress == 100, "\n", "")), collapse="") + cat(sprintf("\r%s %s %s", prefix, progress_bar, progress_percent), end="\r") +} diff --git a/saied-13/src/Node.r b/saied-13/src/Node.r @@ -0,0 +1,288 @@ +# Define the various node classes +# +# Author: Cody Lewis +# Date: 2019-05-01 + +source("Report.r") + +# Some calculation flags +NORMAL <- 0 +N <- 1 # Note based mitigation +C <- 2 # Context based mitigation +CN <- 3 # Context and note based mitigation, (became redundant) +MC <- 4 # Mean context based mitigation +R <- 5 # Replay based mitigation +LOCAL <- 0 +GLOBAL <- 1 + +# A generic node class +Node <- setRefClass( + "Node", + + fields=list( + id="numeric", + service="numeric", + capability="numeric", + noteacc="numeric", + QR="numeric", + malicious="logical", + time.QR="numeric", + reports="list", + reputation="numeric", + trust="numeric", + type.calc="list", + time.possible.attack="numeric", + time.disregard="numeric", + avg.capability="numeric", + avg.service="numeric", + number.reports="numeric" + ), + + methods=list( + initialize = function(id, service, capability, noteacc, QR, malicious, + number.nodes, type.calc, time.disregard=1) { + id <<- id + service <<- service + capability <<- capability + noteacc <<- noteacc + QR <<- QR + malicious <<- malicious + time.QR <<- 0 + type.calc <<- type.calc + time.disregard <<- time.disregard + if(type.calc[[2]] >= N) { + time.possible.attack <<- rep(-time.disregard - 1, number.nodes) + } + if(type.calc[[2]] == MC) { + avg.capability <<- -1 + avg.service <<- -1 + number.reports <<- 0 + } + }, + + take.note = function(target.service, target.capability, proxy, time) { + "Take note of the Quality of the service provided by a proxy" + note = find.note(target.service, target.capability, proxy, time) + if(runif(1) > noteacc) { + wrong_vals = setdiff(c(-1, 0, 1), note) + return(`if`(runif(1) < 0.5, wrong_vals[1], wrong_vals[2])) + } + return(note) + }, + + take.service = function(target.service) { + "Get the service value for a report" + return(target.service) + }, + + take.capability = function(proxy) { + "Get the capability value for a report" + return(proxy$capability) + }, + + take.time = function(time) { + "Get the time value for a report" + return(time) + }, + + make.report = function(proxy, target.service, target.capability, + time) { + "Create a report on the proxy server" + note = take.note(target.service, target.capability, proxy, time) + id.attacker = `if`(proxy$type.calc[[1]] == GLOBAL, proxy$id, id) + report.service = take.service(target.service) + report.capability = take.capability(proxy) + report.time = take.time(time) + + proxy$reports[length(proxy$reports) + 1] <- Report( + service=report.service, + capability=report.capability, + time=report.time, + note=note, + issuer=id, + issuer.QR=QR[[1]], + issuer.time.QR=time.QR[[1]], + disregard=proxy$calc.disregard( + id.attacker, report.capability, report.service, note, + report.time + ) + ) + if((proxy$type.calc[[2]] %in% c(N, C, CN)) && note == -1) { + proxy$time.possible.attack[[id.attacker]] <- time + } + + if(proxy$type.calc[[2]] == MC) { + proxy$avg.capability <- proxy$avg.capability * + proxy$number.reports + report.capability + proxy$avg.service <- proxy$avg.service * proxy$number.reports + + report.service + proxy$number.reports <- proxy$number.reports + 1 + proxy$avg.capability <- proxy$avg.capability / + proxy$number.reports + proxy$avg.service <- proxy$avg.service / proxy$number.reports + } + }, + + calc.disregard = function(id.attacker, capability, service, note, + time) { + "Figure out whether the current report should be disregarded" + if(type.calc[[2]] %in% c(N, C, CN)) { + return( + !is.na(time.possible.attack[[id.attacker]]) && + time.possible.attack[[id.attacker]] >= + time - time.disregard && + `if`(type.calc[[2]] %in% c(N, CN), note == -1, TRUE) && + `if`( + type.calc[[2]] %in% c(C, CN), + check.context(capability, service, note), + TRUE + ) + ) + } else if(type.calc[[2]] == R) { + return( + !is.na(time.possible.attack[[id.attacker]]) && + time.possible.attack[[id.attacker]] >= + time - time.disregard + ) + } else if(type.calc[[2]] == MC) { + fuzz = 1 + condition = (avg.capability - fuzz <= capability && + capability <= avg.capability + fuzz) || + (avg.service - fuzz <= service && + service <= avg.service + fuzz) + return(condition) + } + + return(FALSE) + }, + + check.context = function(reported.capability, reported.service, + reported.note) { + "Check for a context attacks in a lattice fashion" + return( + reported.capability <= capability && + reported.service <= service && + reported.note == -1 + ) + } + ) +) + +# A Bad mouthing node +Node.BadMouther <- setRefClass( + "Node.BadMouther", + contains="Node", + methods=list( + take.note = function(target.service, target.capability, proxy, time) { + "Take a bad mouthing note, -1" + return(-1) + } + ) +) + +# A service setting node, this always reports the service as 50 +Node.BadMouther.ServiceSetter <- setRefClass( + "Node.BadMouther.ServiceSetter", + contains="Node.BadMouther", + methods=list( + take.service = function(target.service) { + "Give a service setted service value" + return(context.set()) + } + ) +) + +# A capability setting node, this always reports the capability as 50 +Node.BadMouther.CapabilitySetter <- setRefClass( + "Node.BadMouther.CapabilitySetter", + contains="Node.BadMouther", + methods=list( + take.capability = function(proxy) { + "Give a capability setted capability value" + return(context.set()) + } + ) +) + +# A service and capability setting node +Node.BadMouther.CapabilitySetter.ServiceSetter <- setRefClass( + "Node.BadMouther.CapabilitySetter.ServiceSetter", + contains="Node.BadMouther.CapabilitySetter", + methods=list( + take.service = function(target.service) { + "Give a service setted service value" + return(context.set()) + } + ) +) + +# A time decaying node, this always reports the time as 5 units in the past +Node.BadMouther.TimeDecayer <- setRefClass( + "Node.BadMouther.TimeDecayer", + contains="Node.BadMouther", + methods=list( + take.time = function(time) { + "Give a time decayed time value" + return(time.decay(time)) + } + ) +) + +# A capability setting and time decaying node +Node.BadMouther.CapabilitySetter.TimeDecayer <- setRefClass( + "Node.BadMouther.CapabilitySetter.TimeDecayer", + contains="Node.BadMouther.CapabilitySetter", + methods=list( + take.time = function(time) { + "Give a time decayed time value" + return(time.decay(time)) + } + ) +) + +# A service setting and time decaying node +Node.BadMouther.ServiceSetter.TimeDecayer <- setRefClass( + "Node.BadMouther.ServiceSetter.TimeDecayer", + contains="Node.BadMouther.ServiceSetter", + methods=list( + take.time = function(time) { + "Give a time decayed time value" + return(time.decay(time)) + } + ) +) + +# A capability setting, service setting and time decaying node +Node.BadMouther.CapabilitySetter.ServiceSetter.TimeDecayer <- setRefClass( + "Node.BadMouther.CapabilitySetter.ServiceSetter.TimeDecayer", + contains="Node.BadMouther.CapabilitySetter.ServiceSetter", + methods=list( + take.time = function(time) { + "Give a time decayed time value" + return(time.decay(time)) + } + ) +) + +# Find the suitable note, by comparing the target context to the proxy's +# abilties +find.note <- function(target.service, target.capability, proxy, time) { + if(proxy$malicious) { + return(-1) + } else if(proxy$service >= target.service && + proxy$capability >= target.capability) { + return(1) + } else { + return(0) + } +} + +# give a setted context +context.set <- function() { + return(50) +} + +# decay the input time +time.decay <- function(time) { + return(time - 5) +} diff --git a/saied-13/src/Plots.r b/saied-13/src/Plots.r @@ -0,0 +1,262 @@ +# A plotting library for the the trust model +# +# Author: Cody Lewis +# Date: 2019-05-03 + + +library(ggplot2) + +# Plot the QRs of nodes over time +plot.nodes <- function(nodes) { + ids = c() + recommendations.number = c() + QRs = c() + malicious.state = c() + + for(node in nodes) { + node.recommendations = length(node$QR) + ids = c(ids, rep(node$id, node.recommendations)) + recommendations.number = c( + recommendations.number, 1:node.recommendations + ) + QRs = c(QRs, rev(node$QR)) + malicious.state = c( + malicious.state, rep( + `if`( + is(node, "Node.BadMouther"), + "Malicious Reporter", + "Non-Malicious Reporter" + ), + node.recommendations + ) + ) + } + data <- data.frame( + ids=ids, + recommendations=recommendations.number, + QRs=QRs, + malicious.state=malicious.state + ) + + ggplot(data=data, aes(x=recommendations, y=QRs, group=ids)) + + geom_line(aes(colour=malicious.state)) + + labs( + title="Quality of Recommendations of Nodes", + x="Number of Recommendations", + y="Quality of Recommendations", + colour=NULL + ) + + malicious_indicator() + + y_limit() + + theme(legend.position = "bottom") +} + +# Plot all of the trust values of all nodes over time +plot.trust <- function(nodes) { + ids = c() + transactions = c() + trust = c() + malicious.state = c() + + for(node in nodes) { + number.transactions = length(node$trust) + ids = c(ids, rep(node$id, number.transactions)) + transactions = c(transactions, 1:number.transactions) + trust = c(trust, node$trust) + malicious.state = c( + malicious.state, rep( + `if`( + is(node, "Node.BadMouther"), + "Malicious Reporter", + "Non-Malicious Reporter" + ), + number.transactions + ) + ) + } + data = data.frame( + ids=ids, + transactions=transactions, + trust=trust, + malicious.state=malicious.state + ) + + ggplot(data=data, aes(x=transactions, y=trust, group=ids)) + + geom_point(aes(colour=malicious.state)) + + malicious_indicator() + + labs( + title="Trust Values of the Node Services", + x="Number of Transactions", + y="Trust Value", + colour = NULL + ) + + y_limit() + + theme(legend.position = "bottom") +} + +# plot the trust of a single node +plot.node.trust <- function(node, total.nodes=200) { + if(length(node$trust) > 0) { + data = data.frame(transactions=1:length(node$trust), trust=node$trust) + is.targeted = node$id <= floor(total.nodes / 6.6) + + return( + ggplot(data=data, aes(x=transactions, y=trust)) + + geom_line(colour=`if`(is.targeted, "purple", "green")) + + labs( + title=sprintf( + "Trust of a %s Group Node Over Time", + `if`(is.targeted, "Target", "Normal") + ), + x="Number of Transactions", + y="Trust Value", + colour = NULL + ) + + y_limit() + + theme(legend.position = "bottom") + ) + } else { + return(NA) + } +} + +# Plot the final Quality of recommendations +plot.QRs.final <- function(nodes) { + ids = c() + QRs.final = c() + malicious.state = c() + + for(node in nodes) { + ids = c(ids, node$id) + QRs.final = c(QRs.final, head(node$QR, 1)) + malicious.state = c( + malicious.state, + `if`( + is(node, "Node.BadMouther"), + "Malicious Reporter", + "Non-Malicious Reporter" + ) + ) + } + data = data.frame( + ids=ids, + QRs.final=QRs.final, + malicious.state=malicious.state + ) + + ggplot(data=data, aes(x=ids, y=QRs.final)) + + geom_point(aes(colour=malicious.state)) + + malicious_indicator() + + labs( + title="Final Quality of Recommendations of the Nodes", + x="Node ID", + y="Final Quality of Recommendation", + colour=NULL + ) + + y_limit() + + theme(legend.position = "bottom") +} + +# Plot the average trust over at each point of time of a target group and a +# normal group +plot.trust.targeted <- function(nodes, number.transactions) { + number.targeted = floor(length(nodes) / 6.6) + target.group = 1:number.targeted + normal.group = number.targeted + 1:2 * number.targeted + target.group.trusts = rep(0, number.transactions) + normal.group.trusts = rep(0, number.transactions) + + for(i in 1:number.transactions) { + sum.trust = 0 + for(target.node in nodes[target.group]) { + sum.trust = sum.trust + target.node$trust[[i]] + } + target.group.trusts[[i]] = sum.trust / length(target.group) + sum.trust = 0 + for(normal.node in nodes[normal.group]) { + sum.trust = sum.trust + normal.node$trust[[i]] + } + normal.group.trusts[[i]] = sum.trust / length(normal.group) + } + trusts = c(target.group.trusts, normal.group.trusts) + is_target_group = c( + rep("Target Group", each=number.transactions), + rep("Normal Group", each=number.transactions) + ) + data = data.frame( + trusts=trusts, + transactions = c(1:number.transactions, 1:number.transactions), + is_target_group = is_target_group + ) + + ggplot(data=data, aes(x=transactions, y=trusts, group=is_target_group)) + + geom_line(aes(color=is_target_group)) + + labs( + title="Average Trust of the Nodes Over Time", + x="Number of Transactions", + y="Average Trust Value", + colour = NULL + ) + + target_indicator() + + y_limit() + + theme(legend.position = "bottom") +} + +# Plot the mean trust of the node within the network without accounting for +# targeting +plot.trust.mean <- function(nodes, number.transactions) { + trusts = rep(0, number.transactions) + + for(i in 1:number.transactions) { + sum.trust = 0 + for(node in nodes) { + sum.trust = sum.trust + node$trust[[i]] + } + trusts[[i]] = sum.trust / length(nodes) + } + + data = data.frame(trusts=trusts, transactions=1:number.transactions) + ggplot(data=data, aes(x=transactions, y=trusts)) + + geom_line(color="green") + + labs( + title="Average Trust of the Nodes Over Time", + x="Number of Transactions", + y="Average Trust Value", + colour = NULL + ) + + y_limit() + + theme(legend.position = "bottom") +} + +# Colourise Malicious and non Malicious nodes for ggplot +malicious_indicator <- function() { + return( + scale_color_manual( + breaks=c( + "Malicious Reporter", + "Non-Malicious Reporter" + ), + values=c("red", "blue") + ) + ) +} + +# Provide a limit on the y-axis for ggplot +y_limit <- function() { + return(ylim(c(-1.1, 1.1))) +} + +# Indicate whether the plot is the target group or not +target_indicator <- function() { + return( + scale_color_manual( + breaks=c("Target Group", "Normal Group"), + values=c("green", "purple") + ) + ) +} + +# Save a graph +graph.save <- function(filename) { + ggsave(file=sprintf("./graphs/%s", filename), dpi=320) +} diff --git a/saied-13/src/Report.r b/saied-13/src/Report.r @@ -0,0 +1,106 @@ +#!/usr/bin/env Rscript + +# A reference class for a report +# +# Author: Cody Lewis +# Date: 2019-05-01 + +Report <- setRefClass( + "Report", + fields=list( + service="numeric", + capability="numeric", + time="numeric", + note="numeric", + issuer="numeric", + issuer.QR="numeric", + issuer.time.QR="numeric", + server="logical", + disregard="logical" + ), + methods=list( + initialize = function(service, capability, time, note, issuer, + issuer.QR, issuer.time.QR, disregard=FALSE) { + service <<- service + capability <<- capability + time <<- time + note <<- note + issuer <<- issuer + issuer.QR <<- issuer.QR + issuer.time.QR <<- issuer.time.QR + server <<- FALSE + disregard <<- disregard + } + ) +) + +# Find the one dimensional distance between the target and current +find.diff <- function(target, current) { + return(abs(target - current)) +} + +# Find the distance of a report from the target +report.distance <- function(report, target.service, target.capability, + service.max, capability.max, eta) { + service.max = service.max + 1 + capability.max = capability.max + 1 + dS.max.squared = find.diff(target.service, service.max)**2 + dC.max.squared = find.diff(target.capability, capability.max)**2 + term.shared = sqrt( + (dS.max.squared + dC.max.squared) * + ( + ( + find.diff(target.service, report$service)**2 / + dS.max.squared + ) + + ( + find.diff(target.capability, report$capability)**2 / + dC.max.squared + ) + ) + ) + if(report$note >= 0) { + term.unique = sqrt( + (dS.max.squared + dC.max.squared) * + ( + ( + (service.max - report$service) / + (service.max - (target.service - eta)) + )**2 + + ( + report$capability / (target.capability + eta) + )**2 + ) + ) + } else { + term.unique = sqrt( + (dS.max.squared + dC.max.squared) * + ( + ( + (capability.max - report$capability) / + (capability.max - (target.capability - eta)) + )**2 + + (report$service / (target.service + eta))**2 + ) + ) + } + return(min(term.shared, term.shared)) +} + +# Return a weight for a report, stating its relevance +report.weigh <- function(report, dist, lambda, theta, time.current) { + s = (1 / 2) * (report$note**2 - report$note) + return(lambda**dist * theta**((s + 1) * (time.current - report$time))) +} + +# Find the threshold value that states whether a report should be rejected if +# exceeded +find.t <- function(target.service, target.capability, service.max, + capability.max) { + return( + sqrt( + find.diff(target.service, service.max)**2 + + find.diff(target.capability, capability.max)**2 + ) + ) +} diff --git a/saied-13/src/ReputationEffects/ConsoleInterface.r b/saied-13/src/ReputationEffects/ConsoleInterface.r @@ -0,0 +1,76 @@ +#!/usr/bin/env Rscript +# Author: Cody Lewis +# Description: +# Console interface showing how the reputation equation works + +library(optigrab) + +source("ReputationQR.r") + +# The main interface +main <- function() { + cat("Simulating the effects of varying capabilities on the system...\n") + s_target = as.numeric(opt_get(c("s-target", "st"), default=50)) + c_target = as.numeric(opt_get(c("c-target", "ct"), default=50)) + s_j = as.numeric(opt_get(c("s-j", "sj"), default=50)) + eta = as.numeric(opt_get(c("eta", "e"), default=50)) + node_note = as.numeric(opt_get(c("node-note", "n"), default=1)) + lambda = as.numeric(opt_get(c("lambda", "l"), default=0.7)) + theta = as.numeric(opt_get(c("theta", "t"), default=0.7)) + number_of_transactions = as.numeric(opt_get(c("transactions", "tr"), default=300)) + final_qrs = rep(1, each=100) + reputations = matrix( + rep(1, each=((number_of_transactions + 1) * 100)), nrow=100 + ) + weights_text = rep("", each=100) + for(c_j in 1:100) { + node_qrs = c(1) + node_qr_times = c(1) + time = 1 + client_qrs = runif(number_of_transactions) + client_notes = take_notes(c_j, c_target, s_j, s_target, client_qrs) + for(transactions in 1:number_of_transactions) { + if((transactions %% 30) == 0) { + time = time + 1 + } + dS_max_sq = find_dist(S_MAX, s_target)**2 + dC_max_sq = find_dist(C_MAX, c_target)**2 + d = report_dist(c_j, s_j, c_target, s_target, eta, node_note, + dS_max_sq, dC_max_sq, S_MAX, C_MAX) + w = find_weight(lambda, theta, node_note, time, d, time) + qr = find_qr(w, client_notes[[transactions]], theta, time, + node_note, client_qrs[[transactions]], node_qrs, + node_qr_times) + if(d >= sqrt(dS_max_sq + dC_max_sq)) { + weights_text[[c_j]] = "Reports produced in the transaction phase of this attack will have no impact on the client's QR as the distance of the report is out of bounds" + } else { + weights_text[[c_j]] = sprintf("Reports produced in the transaction phase of this attack will have a weight of %f", w) + } + node_qrs = c(qr, node_qrs) + node_qr_times = c(time, node_qr_times) + reputations[c_j, transactions + 1] = + calculate_reputation( + theta, client_notes, client_qrs, + transactions, time, node_qr_times + ) + } + final_qrs[[c_j]] = node_qrs[[1]] + cat( + sprintf( + "Completed %d transactions for c_j: %d\n", + number_of_transactions, c_j + ) + ) + } + dir.create("./graphs", showWarnings=FALSE) + for(c_j in 1:100) { + png(sprintf("graphs/%d_reputation_evolution.png", c_j)) + plot_reputation(reputations[c_j, ]) + dev.off() + cat(sprintf("%d\t%s\n", c_j, weights_text[[c_j]])) + } + plot_cap_qr(final_qrs) + cat("Done. Created a few plots in the ./graphs directory\n") +} + +main() diff --git a/saied-13/src/ReputationEffects/README.md b/saied-13/src/ReputationEffects/README.md @@ -0,0 +1,12 @@ +# Context Effects +This shows the effects of context attacks on reputation + +# Configuration +``` +Rscript requirements.r +``` + +# Running +``` +Rscript WebServer.r +``` diff --git a/saied-13/src/ReputationEffects/ReputationQR.r b/saied-13/src/ReputationEffects/ReputationQR.r @@ -0,0 +1,150 @@ +#!/usr/bin/env Rscript +# Author: Cody Lewis +# Date: 2019-02-13 +# Description: +# Show the relationship between capability, QR, and Reputation + +# The max values of service and capability respectively +S_MAX = 101 +C_MAX = 101 + +# Get a scalar distance between 2 values +find_dist <- function(target, current) { + return(abs(target - current)) +} + +# Find the distance between a report's context and a target context +report_dist <- function(c_j, s_j, c_target, s_target, eta, note, + dS_max_sq, dC_max_sq, S_max, C_max) { + shared_term = sqrt( + (dS_max_sq + dC_max_sq) * + ( + (find_dist(s_target, s_j)**2 / + dS_max_sq) + + (find_dist(c_target, c_j)**2 / + dC_max_sq) + ) + ) + unique_term = `if`( + note >= 0, + sqrt( + (dS_max_sq + dC_max_sq) * + ( + ((S_max - s_j) / + (S_max - (s_target - eta)))**2 + + (c_j / + (c_target + eta))**2 + ) + ), + sqrt( + (dS_max_sq + dC_max_sq) * + ( + ((C_max - c_j) / + (C_max - (c_target - eta)))**2 + + (s_j / (s_target + eta))**2 + ) + ) + ) + return(min(shared_term, unique_term)) +} + +find_s <- function(note_j) { + return((1 / 2) * (note_j**2 - note_j)) +} + +# Find the weight of a report +find_weight <- function(lambda, theta, note, report_time, distance, time) { + theta_exp = ((find_s(note) + 1) * (time - report_time)) + return((lambda ** distance) * (theta ** theta_exp)) +} + +# Give a value stating the significance of older occurances +find_c_i <- function(theta, t_1, t_i) { + return(theta ** (t_1 - t_i)) +} + +# Find a quality of reccomendation for a given report weight +find_qr <- function(weight, client_note, theta, time, node_note, + client_qr, node_qrs, node_qr_times) { + QR = 1 + C_F = weight * client_qr + QRXF = C_F * (-abs(node_note - client_note)) + numerator=denominator=0 + numerator = sum(sapply(1:length(node_qrs), + function(i) { + c_i = find_c_i(theta, node_qr_times[[1]], + node_qr_times[[i]]) + c_i * node_qrs[[i]] + QRXF + } + )) + denominator = sum(sapply(1:length(node_qrs), + function(i) { + c_i = find_c_i(theta, node_qr_times[[1]], + node_qr_times[[i]]) + c_i + abs(C_F) + } + )) + QR = `if`( + denominator == 0, + 0, + numerator / denominator + ) + if(QR < -1) { + QR = -1 + } else if(QR > 1) { + QR = 1 + } + return(QR) +} + +# Calculate the reputation of a server +calculate_reputation <- function(theta, client_notes, client_qrs, + transactions, time, node_qr_times) { + sum = 0 + for(i in 1:transactions) { + c_i = find_c_i(theta, time, node_qr_times[[i]]) + sum = sum + c_i * client_notes[[i]] * client_qrs[[i]] + } + return(sum) +} + +# Give a vector of notes produce during operation of the system +take_notes <- function(c, c_target, s, s_target, client_qrs) { + correct_notes = rep( + `if`( + c < c_target, + `if`(s < s_target, -1, 0), + `if`(s < s_target, 0, 1), + ), + each=length(client_qrs) + ) + ifelse( + runif(length(client_qrs)) < client_qrs, + correct_notes, + setdiff(c(-1, 0, 1), correct_notes)[[floor(runif(1, min=1, max=3))]] + ) +} + +plot_reputation <- function(reputations) { + plot( + reputations, + xlab = "Number of Transactions", + ylab = "Reputation Value", + main = "Reputation of the Node in a Trust Model Network", + type = "l", + col = "blue" + ) +} + +plot_cap_qr <- function(final_qrs) { + png("graphs/cap_qr.png") + plot( + x = 1:100, + y = final_qrs, + xlab = "Capability Values", + ylab = "Final QRs", + main = "Capability vs. QR when Good Mouthing a Good Service", + col = "blue" + ) + dev.off() +} diff --git a/saied-13/src/ReputationEffects/WebServer.r b/saied-13/src/ReputationEffects/WebServer.r @@ -0,0 +1,183 @@ +#!/usr/bin/env Rscript +# Author: Cody Lewis +# Description: +# Web based GUI interface showing how the reputation equation works + +library(shiny) + +source("ReputationQR.r") + +NORMAL_FLAG = 0 +BAD_MOUTH_FLAG = 1 +GOOD_MOUTH_FLAG = 2 + +# The GUI instantiation +ui <- fluidPage( + titlePanel("Reputation Impacts in a Trust Model"), + sidebarLayout( + sidebarPanel( + sliderInput( + inputId="s_target", + label="Service Target:", + min=1, + max=100, + value=50 + ), + sliderInput( + inputId="c_target", + label="Capability Target:", + min=1, + max=100, + value=50 + ), + sliderInput( + inputId="s_j", + label="Reported Service of the Node:", + min=1, + max=100, + value=50 + ), + sliderInput( + inputId="c_j", + label="Reported Capability of the Node:", + min=1, + max=100, + value=50 + ), + radioButtons( + inputId="reporter_attack_type", + label="Note Taking Type of Reporting Nodes:", + choices=list( + "Normal"=NORMAL_FLAG, + "Bad Mouth"=BAD_MOUTH_FLAG, + "Good Mouth"=GOOD_MOUTH_FLAG + ), + selected=NORMAL_FLAG + ), + sliderInput( + inputId="time_decay", + label="Time Decay of Reports:", + min=0, + max=10, + value=0 + ), + sliderInput( + inputId="reporter_qr_range", + label="Range of QRs of the reporters:", + min=0, + max=1, + value=c(0, 1) + ), + sliderInput( + inputId="theta", + label="θ:", + min=0, + max=1, + value=0.7 + ), + sliderInput( + inputId="lambda", + label="λ:", + min=0, + max=1, + value=0.7 + ), + sliderInput( + inputId="eta", + label="η:", + min=0, + max=20, + value=1 + ), + sliderInput( + inputId="transactions", + label="Transactions:", + min=1, + max=1000, + value=300 + ) + ), + mainPanel( + id="main", + plotOutput("reputation"), + textOutput("context_attack_impact") + ) + ) +) + +# Backend logic +server <- function(input, output) { + # Plot the effects of the attack on reputation + output$reputation <- renderPlot({ + # initialize for the transactions + reputations = rep(1, each=(input$transactions + 1)) + node_qrs = c(1) + node_qr_times = c(1) + time = 1 + client_qrs = runif( + input$transactions, + min=input$reporter_qr_range[[1]], + max=input$reporter_qr_range[[2]] + ) + if(input$reporter_attack_type == NORMAL_FLAG) { + client_notes = take_notes(input$c_j, input$c_target, + input$s_j, input$s_target, + client_qrs) + } else if(input$reporter_attack_type == BAD_MOUTH_FLAG) { + client_notes = rep(-1, each=length(client_qrs)) + } else { + client_notes = rep(1, each=length(client_qrs)) + } + node_note = 1 + # Perform the transactions + for(transaction in 1:input$transactions) { + if((transaction %% 30) == 0) { + time = time + 1 + } + d = report_dist( + input$c_j, input$s_j, input$c_target, + input$s_target, input$eta, node_note, + find_dist(input$s_target, S_MAX)**2, + find_dist(input$c_target, C_MAX)**2, + S_MAX, C_MAX + ) + w = find_weight(input$lambda, input$theta, node_note, + (time - input$time_decay), d, time) + qr = find_qr( + w, client_notes[[transaction]], input$theta, time, + node_note, client_qrs[[transaction]], node_qrs, node_qr_times + ) + node_qrs = c(qr, node_qrs) + node_qr_times = c(time, node_qr_times) + reputations[[transaction + 1]] = calculate_reputation( + input$theta, client_notes, client_qrs, transaction, + time, node_qr_times + ) + } + plot_reputation(reputations) + }) + # State whether the attack will have an impact on QR of the client + output$context_attack_impact <- renderText({ + time = 1 + node_note = 1 + dS_max_sq = find_dist(input$s_target, S_MAX)**2 + dC_max_sq = find_dist(input$c_target, C_MAX)**2 + d = report_dist( + input$c_j, input$s_j, input$c_target, + input$s_target, input$eta, node_note, + dS_max_sq, dC_max_sq, S_MAX, C_MAX + ) + if(d >= sqrt(dS_max_sq + dC_max_sq)) { + return("Reports produced in the transaction phase of this attack will have no impact on the client's QR as the distance of the report is out of bounds") + } else { + w = find_weight(input$lambda, input$theta, node_note, + (time - input$time_decay), d, time) + return( + sprintf("Reports produced in the transaction phase of this attack will have a weight of %f", w) + ) + } + }) +} + +options(shiny.port=8100) +shinyApp(ui=ui, server=server) diff --git a/saied-13/src/ReputationEffects/requirements.r b/saied-13/src/ReputationEffects/requirements.r @@ -0,0 +1,9 @@ +#!/usr/bin/env Rscript + +r = getOption("repos") +r["CRAN"] = "https://cran.csiro.au/" +options(repos = r) +rm(r) + +install.packages(c("shiny", "optigrab", "plotly", "Rcpp", "ggplot2", "devtools")) +devtools::install_github("AckerDWM/gg3D") diff --git a/saied-13/src/RunAttacks.sh b/saied-13/src/RunAttacks.sh @@ -0,0 +1,11 @@ +#!/bin/sh + +mal_start=0.55 +mal_end=$mal_start + +# ./ConsoleInterface.r --bad_mouth --capability_set --total_nodes=200 --transactions=500 --malicious_start=$mal_start --malicious_end=$mal_end --targeted --type_calc=gnsq --disregard_multiplier=0.00001 & \ +# ./ConsoleInterface.r --bad_mouth --capability_set --total_nodes=200 --transactions=500 --malicious_start=$mal_start --malicious_end=$mal_end --targeted --type_calc=gnsq --disregard_multiplier=0.000001 +./ConsoleInterface.r --bad_mouth --total_nodes=200 --transactions=500 --malicious_start=0.55 --malicious_end=0.55 --type_calc=normal & \ +./ConsoleInterface.r --bad_mouth --total_nodes=200 --transactions=500 --malicious_start=0.30 --malicious_end=0.30 --type_calc=normal & \ +./ConsoleInterface.r --bad_mouth --total_nodes=200 --transactions=500 --malicious_start=0.10 --malicious_end=0.10 --type_calc=normal & \ +./ConsoleInterface.r --bad_mouth --total_nodes=200 --transactions=500 --malicious_start=0.20 --malicious_end=0.20 --type_calc=normal diff --git a/saied-13/src/Tests.r b/saied-13/src/Tests.r @@ -0,0 +1,78 @@ +#!/usr/bin/env Rscript + +# Unit tests for the program +# +# Author: Cody Lewis +# Date: 2019-05-02 + +library('testthat') + +source("Report.r") +source("Node.r") + +# Test the report functionality +test.report <- function() { + r = Report(service=50, capability=50, time=0, note=1, issuer=1, + issuer.QR=1, issuer.time.QR=0) + report.check(r, 50, 50, 0, 1, 1, 1, 0) + d = report.distance(r, 100, 100, 100, 100, 1) + expect_that(d, equals(100)) + w = report.weigh(r, d, 0.7, 0.7, 0) + expect_that(w, equals(3.234477e-16)) +} + +# Check that the values stored in a report match what is expected +report.check <- function(report, service, capability, time, note, issuer, + issuer.QR, issuer.time.QR) { + expect_that(report$service, equals(service)) + expect_that(report$capability, equals(capability)) + expect_that(report$time, equals(time)) + expect_that(report$note, equals(note)) + expect_that(report$issuer, equals(issuer)) + expect_that(report$issuer.QR, equals(issuer.QR)) + expect_that(report$issuer.time.QR, equals(issuer.time.QR)) +} + +# Test the node functionality +test.node <- function() { + number.nodes = 3 + type.calc = list(NORMAL, NORMAL) + n <- Node(id=1, service=1, capability=1, noteacc=1, QR=1, malicious=F, + number.nodes, type.calc) + node.check(n, 1, 1, 1, 1, 1, F) + n1 <- Node(id=2, service=100, capability=100, noteacc=1, QR=1, malicious=T, + number.nodes, type.calc) + node.check(n1, 2, 100, 100, 1, 1, T) + n2 <- Node(id=3, service=100, capability=1, noteacc=1, QR=1, malicious=F, + number.nodes, type.calc) + node.check(n2, 3, 100, 1, 1, 1, F) + n$make.report(n1, 50, 50, 0) + report.check(n1$reports[[1]], 50, 100, 0, -1, 1, 1, 0) + n1$make.report(n, 50, 50, 0) + report.check(n$reports[[1]], 50, 1, 0, 0, 2, 1, 0) + n$make.report(n2, 50, 1, 0) + report.check(n2$reports[[1]], 50, 1, 0, 1, 1, 1, 0) +} + +# Check that the values stored in a node a what is expected +node.check <- function(node, id, service, capability, noteacc, QR, malicious) { + expect_that(node$id, equals(id)) + expect_that(node$service, equals(service)) + expect_that(node$capability, equals(capability)) + expect_that(node$noteacc, equals(noteacc)) + expect_that(node$QR, equals(QR)) + expect_that(node$malicious, equals(malicious)) +} + +test <- function() { + cat("-------------- Performing Tests --------------\n") + test.report() + cat(".") + test.node() + cat(".") + cat("\n") + cat("------------- Test Cases Passed ----------