Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Trust and Reputation Model in Peer-to-Peer Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
Distributed Pagerank: A Distributed Reputation Model for Open Peer-to-Peer Networks
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
Limited reputation sharing in P2P systems
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
A reputation-based trust management system for P2P networks
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Agent Computing and Multi-Agent Systems
CCR: A Model for Sharing Reputation Knowledge Across Virtual Communities
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Towards pre-standardization of trust and reputation models for distributed and heterogeneous systems
Computer Standards & Interfaces
Trust and reputation in and across virtual communities
Proceedings of the 16th International Conference on Extending Database Technology
A Community-Based Trust Management Framework in P2P Systems
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
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In large scale P2P networks, it is less likely that repeat interactions will occur between same peers for the asymmetric interests between them. So it is difficult to establish the direct trust relationship between peers and the network is vulnerable to malicious peers. A group based reputation system GroupRep for P2P networks is proposed in this paper to solve this problem. In GroupRep, the trust relationship is classified into three tiers: the trust relationship between groups, between groups and peers, and between peers. A peer evaluates the credibility of a given peer by its local trust information or the reference from the group it belonging to. A filtering cluster algorithm is proposed to filter unfair ratings provided by malicious peers. As a result, good peers are distinguished from malicious ones. Choosing the download source based on the trust value of responders can make good peers happy with the high ratio of the success query and the high satisfaction level under malicious collusive attacks with front peers.