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Ubiquitous Secure Technology

Fighting Peer-to-Peer SPAM and Decoys with Object Reputation
Kevin Walsh, Emin Gun Sirer

Citation
Kevin Walsh, Emin Gun Sirer. "Fighting Peer-to-Peer SPAM and Decoys with Object Reputation". Proceedings of Workshop on the Economics of Peer-to-Peer Systems (P2PECON), Workshop on the Economics of Peer-to-Peer Systems (P2PECON), August, 2005.

Abstract
Peer-to-peer filesharing is now commonplace and its traffic now dominates bandwidth consumption at many Internet peering points. Recent studies indicate that much of this filesharing activity involves corrupt and polluted files. This paper describes Credence, a new object-based reputation system, and shows how it can counteract content pollution in peer-to-peer filesharing networks. Credence allows honest peers to assess the authenticity of online content by securely tabulating and managing endorsements from other peers. We employ a novel voter correlation scheme to weigh the opinions of peers, which gives rise to favorable incentives and system dynamics. We present simulation results indicating that our system is scalable, efficient, and robust.

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  • HTML
    Kevin Walsh, Emin Gun Sirer. <a
    href="http://www.truststc.org/pubs/174.html"
    >Fighting Peer-to-Peer SPAM and Decoys with Object
    Reputation</a>, Proceedings of Workshop on the
    Economics of Peer-to-Peer Systems (P2PECON), Workshop on the
    Economics of Peer-to-Peer Systems (P2PECON), August, 2005.
  • Plain text
    Kevin Walsh, Emin Gun Sirer. "Fighting Peer-to-Peer
    SPAM and Decoys with Object Reputation". Proceedings of
    Workshop on the Economics of Peer-to-Peer Systems (P2PECON),
    Workshop on the Economics of Peer-to-Peer Systems (P2PECON),
    August, 2005.
  • BibTeX
    @inproceedings{WalshSirer05_FightingPeertoPeerSPAMDecoysWithObjectReputation,
        author = {Kevin Walsh and Emin Gun Sirer},
        title = {Fighting Peer-to-Peer SPAM and Decoys with Object
                  Reputation},
        booktitle = {Proceedings of Workshop on the Economics of
                  Peer-to-Peer Systems (P2PECON)},
        organization = {Workshop on the Economics of Peer-to-Peer Systems
                  (P2PECON)},
        month = {August},
        year = {2005},
        abstract = {Peer-to-peer filesharing is now commonplace and
                  its traffic now dominates bandwidth consumption at
                  many Internet peering points. Recent studies
                  indicate that much of this filesharing activity
                  involves corrupt and polluted files. This paper
                  describes Credence, a new object-based reputation
                  system, and shows how it can counteract content
                  pollution in peer-to-peer filesharing networks.
                  Credence allows honest peers to assess the
                  authenticity of online content by securely
                  tabulating and managing endorsements from other
                  peers. We employ a novel voter correlation scheme
                  to weigh the opinions of peers, which gives rise
                  to favorable incentives and system dynamics. We
                  present simulation results indicating that our
                  system is scalable, efficient, and robust.},
        URL = {http://www.truststc.org/pubs/174.html}
    }
    

Posted by Kelly Patwell on 13 Feb 2007.
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