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+\documentclass[11pt,twoside,a4paper]{article}
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+
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+\usepackage{listings} % Include the listings-package
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+
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+\begin{document}
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+\title{Integrating CertainTrust into OpenCCE}
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+\author{Nikolaos Alexpoulos, CROSSING S1}
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+\date{August 2016}
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+
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+\maketitle
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+
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+\section{About CertainTrust}
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+CertainTrust is a robust Bayesian Computational Trust model for users and agents.
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+It offers a mathematically sound implementation of a Bayesian probability model in order to assess the
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+trustworthiness of agents in multi-agent systems. The system can calculate the expected trustworthiness of
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+agents based on prior experience and can also combine evidence provided by other sources in statistically
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+sound ways. (Finally, it also offers a user interface to visualize trust when user involvement is needed.)
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+By providing CertainTrust as a task to OpenCCE we want to enable users and devices to enhance their security
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+in high-risk environments.
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+
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+\section{Implementation}
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+We have implemented OpenCCE as a Java project. More specifically, the whole fuctionality is encompassed in a
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+single class (CertainTrust.java).
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+The remainder of our classes support a graphical user interface intended to visualize trust in a user-friendly
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+way.
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+
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+\section{Usage examples and rules}
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+\subsection{Usage examples}
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+The proposed use of our task consists of a CertainTrust object constructed to handle a single trust
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+relationship. The constructor is reached by calling one of the \textit{createfromRS} or
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+\textit{createfromTC} functions.
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+After the constructor, the main and presumably more regularly used functionalities are
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+implemented by the functions \textit{addR}, \textit{addS} and \textit{addU} that respectively add positive,
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+negative and neutral
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+evidence to the statistical model. Furthermore, there are a number of ways to combine CertainTrust objects
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+by choosing a CertainLogic operator implemented in the functions from the set \{\textit{OR, AND, wFusion, cFusion}\}.
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+\medskip \\
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+A typical example of the use of the task could be the creation of a computational trust object and then the
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+incorporation of evidence in the statistical model that leads to an extracted expectation value for
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+the trustworthiness of the given agent. A small snippet is found below:
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+\medskip
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+\lstset{language=java}
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+\begin{lstlisting}[frame=single]
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+trustObject = CertainTrust.createDefault(N, name)
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+trustObject.addR(posEvidence)
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+trustObject.addS(negEvidence)
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+expectation = trustObject.getExpectation()
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+\end{lstlisting}
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+
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+\subsection{Rules}
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+Rules regarding the use of CertainTrust address the correctness of the model and are provided as comments to
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+each function implemented in the class. They are normally handled by exceptions, but a static analysis
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+could have some benefit. Specifically, values t,c and f represent probabilities and so $\in[0,1]$.
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+
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+\section{Algorithms Model}
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+CertainTrust in its current form does not offer any variability. The task, which could be named
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+``Initialize CertainTrust Object'' is self-contained in the Java class of the same name. Providing different
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+tasks for each operation on the trust objects and grouping them together could be an option, but
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+is not considered practical at this point.
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+
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+\section{Questions for initialization}
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+The main user choices during the initialization of the task concern the arguments of the
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+\textit{createfromRS} and \textit{createfromTC}. More specifically, the user should be able to
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+choose the name of the object, an initial (prior) trust value as well as the number N of adequate evidence. A detailed list follows:
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+\medskip
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+\begin{enumerate}
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+ \item Give the \textbf{name} of the oject (e.g. ``John'', ``Bank'', etc.)
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+ \item Give your perceived \textbf{initial trust value (t)} for the subject (default: t=0,5) - could be low/med/high or visualisation. Its effect dissolves while experiences are collected.
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+ \item Give the \textbf{maximal expected number of evidence (N)}. That is the number of evidence that suffice to provide total certainty in the trust assessment. This parameter highly depends on the
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+ context and the security assurances needed.
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+\end{enumerate}
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+
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+\end{document}
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