Dynamic access control: preserving safety and trust for network defense operations
Proceedings of the eighth ACM symposium on Access control models and technologies
A Trust based Access Control Framework for P2P File-Sharing Systems
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
An Adaptive Reputation-based Trust Framework for Peer-to-Peer Applications
NCA '05 Proceedings of the Fourth IEEE International Symposium on Network Computing and Applications
P2P-based Trust Model for E-Commerce
ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
An Improved Trust Model in P2P
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
A Comprehensive RMS Model for P2P e-Commerce Communities
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
A Trust-Based Exchange Framework for Multiple Services in P2P Systems
P2P '07 Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing
A Distributed Trust-based Reputation Model in P2P System
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
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Peer-to-peer applications are very popular due to their decentralized and anonymous characteristics. Though this provides more opportunities for information exchange it still faces problems from malicious behavior. It is necessary to motivate peers to share their information and also to have some rigid rules for misbehaving peers. In this paper we propose a reputation model that provides incentives to the most trusted peers and reduces the effect of colluding peers and the peers behaving with dynamic personality. The model enforces peers to gradually increase or decrease their performance so that peers who suddenly drag their performance are viewed with an eye towards disturbing the system and hence their trust value is lowered. Peers are forced to provide correct evaluation by using credibility of the feedback sources. Collaborative nature of good peers helps to isolate misbehaving peers.