Vidal's libraryTitle: | Developing Trust in Large-Scale Peer-to-Peer Systems |
Author: | Bin Yu, Munindar P. Singh, and Katia Sycara |
Book Tittle: | Proceedings of First IEEE Symposium on Multi-Agent Security and Survivability |
Pages: | 1--10 |
Year: | 2004 |
Abstract: | In peer-to-peer (P2P) systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. A peer will need reputation mechanisms to incorporate the knowledge of others to decide whether to trust another party in P2P systems. This paper discusses the design of reputation mechanisms and proposes a novel distributed reputation mechanism to detect malicious or unreliable peers in P2P systems. It illustrates the process for rating gathering and aggregation and presents some experimental results to evaluate the proposed approach. Moreover, it considers how to effectively aggregate noisy (dishonest or inaccurate) ratings from independent or collusive peers using weighted majority techniques. Furthermore, it analyzes some possible attacks on reputation mechanisms and shows how to defend against such attacks. |
Cited by 14 - Google Scholar
@InProceedings{yu04a,
author = {Bin Yu and Munindar P. Singh and Katia Sycara},
title = {Developing Trust in Large-Scale Peer-to-Peer
Systems},
booktitle = {Proceedings of First {IEEE} Symposium on Multi-Agent
Security and Survivability},
pages = {1--10},
year = 2004,
abstract = {In peer-to-peer (P2P) systems, peers often must
interact with unknown or unfamiliar peers without
the benefit of trusted third parties or authorities
to mediate the interactions. A peer will need
reputation mechanisms to incorporate the knowledge
of others to decide whether to trust another party
in P2P systems. This paper discusses the design of
reputation mechanisms and proposes a novel
distributed reputation mechanism to detect malicious
or unreliable peers in P2P systems. It illustrates
the process for rating gathering and aggregation and
presents some experimental results to evaluate the
proposed approach. Moreover, it considers how to
effectively aggregate noisy (dishonest or
inaccurate) ratings from independent or collusive
peers using weighted majority
techniques. Furthermore, it analyzes some possible
attacks on reputation mechanisms and shows how to
defend against such attacks.},
keywords = {multiagent trust p2p},
url = {http://jmvidal.cse.sc.edu/library/yu04a.pdf},
googleid = {z86YBvw577wJ:scholar.google.com/},
cluster = {13614163953169518287}
}
Last modified: Wed Mar 9 10:16:15 EST 2011