Abstract
Peer-to-peer virtual communities are often established dynamically with peers that are unrelated and unknown to each other. Peers have to manage the risk involved with the transactions without prior knowledge about each other’s reputation. SimiTrust, a reputation management scheme, is proposed for P2P virtual communities. A unique global trust value, computed by aggregating similarity-weighted recommendations of the peers who have interacted with him and reflecting the degree that the community as a whole trusts a peer, is assigned to each peer in the community. Different from previous global-trust based schemes, SimiTrust does not need any pre-trusted peers to ensure algorithm convergence and invalidates the assumption that the peers with high trust value will give the honest recommendation. Theoretical analyses and experiments show that the scheme is still robust under more general conditions where malicious peers cooperate in an attempt to deliberately subvert the system, converges more quickly and decreases the number of inauthentic files downloaded more effectively than previous schemes.
This work is supported by the National Natural Science Foundation of China (No. 60373021).
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References
Kazaa, http://www.kazaa.com/
Liang, J., Kumar, R., Xi, Y., Ross, K.: Pollution in p2p file sharing systems. In: Proceedings of IEEE Infocom 2005 (2005), http://photon.poly.edu/~jliang/pollution.pdf
VBS.GnutellaWorm, http://securityresponse.symantec.com/avcenter/venc/data/vbs.gnutella.html
eBay Feedback Forum, http://pages.ebay.com/services/forum/feedback.html?ssPageName=STRK
Saroiu, S., Gummadi, P.K., Gribble, S.D.: A Measurement Study of Peer-to-Peer File Sharing Systems. In: Proceedings of Multimedia Computing and Networking 2002 (MMCN 2002), Proceedings of SPIE, vol. 4673, pp. 156–170 (2002)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-Based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International World Wide Web Conference, pp. 285–295. ACM Press, New York (2001)
Gupta, M., Judge, P., Ammar, M.: A Reputation System for Peer-to-Peer Networks. In: Proceedings of 13th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 2003), pp. 144–152. ACM Press, New York (2003)
Xiong, L., Liu, L.: PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities. IEEE Transactions on Knowledge And Data Engineering 16(7), 843–857
Kamvar, S.D., Schlosser, M.T.: The eigentrust algorithm for reputation management in P2P networks. In: Proceedings of the 12th international conference on World Wide Web, pp. 640–651. ACM Press, New York (2003)
Shi, W.M., Yang, H.F., Wu, Y.S., Sun, X.: Numerical Analysis, 2nd edn., pp. 91–93. Beijing Institute of Technology Press, Beijing (2004)
Schlosser, M.T., Condie, T.E., Kamvar, S.D.: Simulating a File-Sharing P2P Network. In: Proceedings of First Workshop on Semantics in P2P and Grid Computing, pp. 69–80 (2003)
Golle, P., Leyton-Brown, K., Mironov, I.: Incentives for Sharing in Peer-to-Peer Networks. In: Proceedings of the 3rd ACM conference on Electronic Commerce, pp. 264–267 (2001)
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© 2006 Springer-Verlag Berlin Heidelberg
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Li, J., Wang, X., Liu, B., Wang, Q., Zhang, G. (2006). A Reputation Management Scheme Based on Global Trust Model for Peer-to-Peer Virtual Communities. In: Yu, J.X., Kitsuregawa, M., Leong, H.V. (eds) Advances in Web-Age Information Management. WAIM 2006. Lecture Notes in Computer Science, vol 4016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11775300_18
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DOI: https://doi.org/10.1007/11775300_18
Publisher Name: Springer, Berlin, Heidelberg
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