Team for Research in
Ubiquitous Secure Technology

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.

Electronic downloads

• 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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