Trust network analysis with subjective logic

Audun Jøsang · Ross F. Hayward

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Access Control and Trust Information and Cyber Security Complex Network Analysis Techniques

Abstract

Trust networks consist of transitive trust relationships between people, organisations and software agents connected through a medium for communication and interaction. By formalising trust relationships, e.g. as reputation scores or as subjective trust measures, trust between parties within the community can be derived by analysing the trust paths linking the parties together. This article describes a method for trust network analysis using subjective logic (TNA-SL). It provides a simple notation for expressing transitive trust relationships, and defines a method for simplifying complex trust networks so that they can be expressed in a concise form and be computationally analysed. Trust measures are expressed as beliefs, and subjective logic is used to compute trust between arbitrary parties in the network. We show that TNA-SL is efficient, and illustrate possible applications with examples.

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References

2003The Eigentrust algorithm for reputation management in P2P networks 2005A survey of trust and reputation systems for online service provision 1996Decentralized Trust Management 2002The Beta Reputation System 2000A survey of trust in internet applications 2004Filtering Out Unfair Ratings in Bayesian Reputation Systems 1996SDSI - A Simple Distributed Security Infrastructure 2002The consensus operator for combining beliefs

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2015A Survey on Trust Modeling 2016Understanding Graph-Based Trust Evaluation in Online Social Networks 2012Generating trusted graphs for trust evaluation in online social networks 2009Challenges for Robust Trust and Reputation Systems 2008Optimal Trust Network Analysis with Subjective Logic 2015OPTIMo 2008Trust on the World Wide Web: A Survey

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