Abstract | ||
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Deceptive voting behaviors of malicious users are known as the main reason of causing content pollution in Peer-to-Peer (P2P)
content sharing systems. Due to the nature of P2P overlay network such as self-organization and anonymity, the existing methods
on identifying deceptive votes are not effective, especially for collusive attackers. This paper presents Sorcery, a novel
active challenge-response mechanism based on the notion that one side of interaction with the dominant information can detect
whether the other side is telling a lie. To make each client obtain the dominant information, our approach introduces the
social network to the P2P content sharing system; therefore, clients can establish the friend-relationships with the users
who are either acquaintances in reality or those reliable online friends. Using the confidential voting histories of friends
as own dominant information, the client challenges target content providers with the overlapping votes of both his friends
and the target content provider, thus detecting whether the content provider is a deceptive user. Moreover, Sorcery provides
the punishment mechanism which can reduce the impact brought by deceptive voting behaviors, and our work also discusses some
key practical issues. The experimental results illustrate that Sorcery can effectively overcome the problem of deceptive voting
behaviors in P2P content sharing systems, and work better than the existing reputation models. |
Year | DOI | Venue |
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2011 | 10.1007/s12083-010-0074-2 | Peer-to-Peer Networking and Applications |
Keywords | DocType | Volume |
Peer-to-Peer,Social network,Deceptive votes,Content pollution,Challenge-response | Journal | 4 |
Issue | ISSN | Citations |
2 | 19366450 | 0 |
PageRank | References | Authors |
0.34 | 30 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ennan Zhai | 1 | 100 | 19.42 |
Huiping Sun | 2 | 40 | 8.68 |
Sihan Qing | 3 | 620 | 91.02 |
Zhong Chen | 4 | 503 | 58.35 |