• DocumentCode
    456731
  • Title

    Identification and Analysis of P2P Traffic- An Example of BitTorrent

  • Author

    Horng, Mong-Fong ; Chen, Chun-Wei ; Chuang, Chin-Shun ; Lin, Cheng-Yu

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Shu Te Univ., Kaohsiung
  • Volume
    2
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    266
  • Lastpage
    269
  • Abstract
    A pay load-analysis approach to identification and measurement of peer-to-peer (P2P) network services is proposed. The proposed approach effectively and efficiently identifies the complicated traffic caused by P2P network services. The feature extraction, pay load analysis and dynamic measurement are the three pillars of the proposed approach. The dynamics of BT connections are featured to generalize the packet-capture criteria. Followed up, a payload analysis of captured packets is used to identify and measure the traffic. The implementation of the proposed scheme has been realized on a Pentium-III computer. The results shows the effectiveness of the proposed scheme and the efficient measurement of the traffic parameters, such as peer IPs, port numbers, data rates, etc. The parameter measurement facilitates this possible bandwidth management of P2P traffic in the near future
  • Keywords
    IP networks; computer network management; feature extraction; peer-to-peer computing; protocols; telecommunication network routing; telecommunication traffic; BT protocol; BitTorrent protocol; IP router; P2P traffic analysis; P2P traffic identification; dynamic measurement; feature extraction; pay load-analysis approach; peer-to-peer network services; Application software; Bandwidth; Broadcasting; Monitoring; Network servers; Payloads; Peer to peer computing; Protocols; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.294
  • Filename
    1691978