Managing trust in a peer-2-peer information system
Proceedings of the tenth international conference on Information and knowledge management
Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
Content availability, pollution and poisoning in file sharing peer-to-peer networks
Proceedings of the 6th ACM conference on Electronic commerce
Fighting peer-to-peer SPAM and decoys with object reputation
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing
IEEE Transactions on Parallel and Distributed Systems
A first look at peer-to-peer worms: threats and defenses
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Trust your social network according to satisfaction, reputation and privacy
Proceedings of the Third International Workshop on Reliability, Availability, and Security
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In a heterogeneous peer-to-peer network, different peers provide different qualities of service. It will be very helpful if a peer can identify which peers can provide better services than others. In this paper, we design a novel reputation model which enables any peer to calculate a reputation value for any other peer that reflects the quality of service provided by that peer, so as to differentiate peers providing good quality of service from those peers providing poor service. Furthermore, to overcome the problem of malicious recommenda-tions, we propose an auxiliary trust mechanism which calculates a trust value for each peer. Experimental results show that our reputation model achieves a fast convergence speed, and it is also robust against a large portion of malicious peers that provide fraud recommendations.