Communications of the ACM
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Managing trust in a peer-2-peer information system
Proceedings of the tenth international conference on Information and knowledge management
Valuation of Trust in Open Networks
ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
A Bayesian Model for Event-based Trust
Electronic Notes in Theoretical Computer Science (ENTCS)
Analysis of ratings on trust inference in open environments
Performance Evaluation
Using and fixing biased rating schemes
Communications of the ACM - Enterprise information integration: and other tools for merging data
CellTrust: a reputation model for C2C commerce
Electronic Commerce Research
Can reputation migrate? On the propagation of reputation in multi-context communities
Knowledge-Based Systems
Reputation estimation and query in peer-to-peer networks
IEEE Communications Magazine
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Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-commerce. Reputation-based trust management has been identified in the literature as a viable solution to the problem. The current work in the field can be roughly divided into two groups: social networks that rely on aggregating the entire available feedback in the network in hope achieving as much robustness against possible misbehavior as possible and probabilistic models that rely on the well known probabilistic estimation techniques but use only a limited fraction of the available feedback. In this paper we provide first an overview of these techniques and then a comprehensive comparison of the two classes of approaches. We test their performance against various classes of collusive peer behavior and analyze their properties with respect to the implementation costs they incur and trust semantics they offer to the decision makers.