Trust network analysis with subjective logic

  • Authors:
  • Audun Jøsang;Ross Hayward;Simon Pope

  • Affiliations:
  • School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, Australia;School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, Australia;CRC for Enterprise Distributed Systems Technology (DSTC Pty Ltd), The University of Queensland, Brisbane, Australia

  • Venue:
  • ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
  • Year:
  • 2006

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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.