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Decoupling Service and Feedback Trust in a Peer-to-Peer Reputation System

Summary: Decoupling Service and Feedback Trust in a
Peer-to-Peer Reputation System
Gayatri Swamynathan, Ben Y. Zhao and Kevin C. Almeroth
Department of Computer Science, UC Santa Barbara
{gayatri, ravenben, almeroth}@cs.ucsb.edu
Abstract. Reputation systems help peers decide whom to trust before under-
taking 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 reputa-
tion as a transactor, these models become vulnerable to malicious nodes that pro-
vide 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.
1 Introduction
The explosive growth in the Internet in the last decade has resulted in an increase in
the use and popularity of online peer-to-peer (P2P) communities. P2P file sharing com-
munities like Gnutella [9] involve millions of users who interact daily to transfer files
among each other free of cost. The success of this type of a P2P community relies on


Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara


Collections: Computer Technologies and Information Sciences