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New metrics for reputation management in P2P networks
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Source AIRWeb; Vol. 215 archive
Proceedings of the 3rd international workshop on Adversarial information retrieval on the web table of contents
Banff, Alberta, Canada
SESSION: Tagging, P2P, cloaking, and commercial intent table of contents
Pages: 65 - 72  
Year of Publication: 2007
ISBN:978-1-59593-732-2
Authors
Debora Donato  Yahoo! Research Barcelona, Spain
Mario Paniccia  University of Rome, "La Sapienza", Rome, Italy
Maddalena Selis  University of Rome, "La Sapienza", Rome, Italy
Carlos Castillo  Yahoo! Research Barcelona, Spain
Giovanni Cortese  University of Rome, Tor Vergata - Rome, Italy
Stefano Leonardi  University of Rome, "La Sapienza", Rome, Italy
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 20,   Downloads (12 Months): 85,   Citation Count: 1
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ABSTRACT

In this work we study the effectiveness of mechanisms for decentralized reputation management in P2P networks. We depart from Eigen Trust, an algorithm designed for reputation management in file sharing applications over p2p networks. EigenTrust has been proved very effective against three different natural attacks from malicious coalitions while it performs poorly on particular attack organized by two different kinds of malicious peers. We propose various metrics of reputation based on ideas recently introduced for detecting and demoting Web spam. We combine these metrics with the original EigenTrust approach. Our mechanisms are more effective than EigenTrust alone for detecting malicious peers and reducing the number of inauthentic downloads not only for all the cases previously addressed but also for more sophisticated attacks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Zo Abrams, Robert Mcgrew, and Serge Plotkin. A non-manipulable trust system based on eigentrust, July 2005.
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L. Becchetti, C. Castillo, D. Donato, S. Leonardi, and R. Baeza-Yates. Using rank propagation and probabilistic counting for link-based spam detection. In WebKDD, Pennsylvania, USA, 2006. ACM Press.
 
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Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen. Combating Web spam with TrustRank. In VLDB, pp. 576--587, Toronto, Canada, 2004.
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Collaborative Colleagues:
Debora Donato: colleagues
Mario Paniccia: colleagues
Maddalena Selis: colleagues
Carlos Castillo: colleagues
Giovanni Cortese: colleagues
Stefano Leonardi: colleagues