Detecting Deception in Reputation Management

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Detecting Deception in Reputation Management (2003)

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by Bin Yu , Munindar P. Singh

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133 - 3 self

BibTeX

@MISC{Yu03detectingdeception,
    author = {Bin Yu and Munindar P. Singh},
    title = {Detecting Deception in Reputation Management},
    year = {2003}
}

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Abstract

We previously developed a social mechanism for distributed reputation management, in which an agent combines testimonies from several witnesses to determine its ratings of another agent. However, that approach does not fully protect against spurious ratings generated by malicious agents. This paper focuses on the problem of deception in testimony propagation and aggregation. We introduce some models of deception and study how to efficiently detect deceptive agents following those models. Our approach involves a novel application of the well-known weighted majority technique to belief function and their aggregation. We describe simulation experiments to study the number of apparently accurate witnesses found in different settings, the number of witnesses on prediction accuracy, and the evolution of trust networks.

Keyphrases

reputation management distributed reputation management prediction accuracy malicious agent accurate witness social mechanism spurious rating trust network deceptive agent agent combine testimony testimony propagation different setting novel application several witness simulation experiment well-known weighted majority technique

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