• DocumentCode
    3391288
  • Title

    Inherent Behaviors for On-line Detection of Peer-to-Peer File Sharing

  • Author

    Bartlett, Genevieve ; Heidemann, John ; Papadopoulos, Christos

  • Author_Institution
    ISI, USC, Los Angeles, CA
  • fYear
    2007
  • fDate
    11-11 May 2007
  • Firstpage
    55
  • Lastpage
    60
  • Abstract
    Blind techniques to detect network applications-approaches that do not consider packet contents-are increasingly desirable because they have fewer legal and privacy concerns, and they can be robust to application changes and intentional cloaking. In this paper we identify several behaviors that are inherent to peer-to-peer (P2P) traffic and demonstrate that they can detect both BitTorrent and Gnutella hosts using only packet header and timing information. We identify three basic behaviors: failed connections, the ratio of incoming and outgoing connections, and the use of unprivileged ports. We quantify the effectiveness of our approach using two day-long traces, achieve up to an 83% true positive rate with only a 2% false positive rate. Our system is suitable for on-line use, with 75% of new P2P peers detected in less than 10 minutes of trace data.
  • Keywords
    peer-to-peer computing; telecommunication traffic; BitTorrent host; Gnutella host; blind techniques; inherent behaviors; intentional cloaking; online detection; peer-to-peer file sharing; peer-to-peer traffic; Cryptography; Data analysis; Filtering; Law; Legal factors; Payloads; Peer to peer computing; Privacy; Protocols; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Global Internet Symposium, 2007
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4244-1697-4
  • Type

    conf

  • DOI
    10.1109/GI.2007.4301431
  • Filename
    4301431