Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Experience-Based trust: enabling effective resource selection in a grid environment
iTrust'05 Proceedings of the Third international conference on Trust Management
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Trust is an important character in next generation Internet. Entity's reputation aims at embodying trustworthy interaction information in history and constructing anticipation in future. Spurious reputation threatens to cause latent cheat and leakage in reputation mechanism, which is an exigent problem to be considered in wide distributed, dynamic domain. Based on D-S evidence theory, tuned by scorer reliability, the proposed approach evaluates entities' ratings on multi-facet and filters out dishonest feedbacks and malicious referrers. Importing self-adaptation mechanism, the status of reputation can be adaptively formed, updated, used and evolved in dynamic real-time environment. Compared with other methods, this approach accords with human filtering psychology naturally, is especially instructive in application.