Communications of the ACM
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Fighting peer-to-peer SPAM and decoys with object reputation
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
The pollution attack in P2P live video streaming: measurement results and defenses
Proceedings of the 2007 workshop on Peer-to-peer streaming and IP-TV
Analysis of bittorrent-like protocols for on-demand stored media streaming
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Challenging the feasibility of authentication mechanisms for P2P live streaming
Proceedings of the 6th Latin America Networking Conference
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Pollution attack is known to have a disastrous effect on existing P2P infrastructures: it can reduce the number of legitimate P2P users by as much as 85%, and it generates abundant bogus data which may deplete the communication bandwidth. We propose a distributed defense and detection mechanism to resolve pollution attacks. The mechanism is composed of a set of ''randomized'' and ''fully distributed'' algorithms that can be executed by any legitimate peer. We present the analytical framework to quantify (a) the probability of false negative, (b) the probability of false positive, and (c) the distribution of time needed for detection. In our detection algorithm and analysis, we consider the case of (1) single attacker within the neighborhood, (2) multiple attackers within the neighborhood. Furthermore, we show how to ''optimize'' the system parameters so as to quickly discover and eliminate malicious peers from the system.