Decoupling Service and Feedback Trust in a Peer-to-Peer Reputation System
Gayatri Swamynathan
Ben Y. Zhao
Kevin Almeroth
First Workshop on Applications and Economics of Peer-to-Peer Systems (AEPP 2005)
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Paper Abstract
Reputation systems help peers decide whom to trust before undertaking a
transaction. Conventional approaches to reputation-based trust modeling assume
that peers reputed to provide
trustworthy service are also likely to provide trustworthy
feedback. By basing the credibility of a peer's feedback on its
reputation as a transactor, these models become vulnerable to malicious
nodes that provide good service to badmouth targeted nodes. We propose to
decouple a peer's reputation as a service provider from its
reputation as a service recommender, making the reputation more
robust to malicious peers. We show via simulations that a decoupled
approach greatly enhances the accuracy of reputations generated, resulting
in fewer malicious transactions, false positives, and false negatives.