• DocumentCode
    3155299
  • Title

    Proposition and Provement of A TCP Feature of P2P Traffic- An Example of BitTorrent and Emule

  • Author

    Zhou, Li-Juan ; Li, Zhi-Tang ; Hao, Tu

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    61
  • Lastpage
    65
  • Abstract
    Over the last years,the large number of filesharing applications has resulted in a significant increase of P2P traffic. The P2P (Peer-to-Peer) technology is characterized by no utilization of any servers with centralized functions and the presence of many hosts acting both as servers and clients.The wide use of the P2P application has lead to the rapid growth of network traffic. Thus, the accurate classification of P2P traffic becomes a challenging problem,and becomes even more challenging. This paper proposes some new essential characteristics of TCP traffic to achieve its discrimination. To prove the universality of the values of our proposed features, we also present some analytic estimates of them using Pareto as the distribution of user lifetime in real P2P systems. Finally, we apply SVM (Support-Vector-Machine) to the discrimination of these features in order to automate the processing of the discrimination, and its accuracy is demonstrated as a result of some experiments.
  • Keywords
    Pareto analysis; peer-to-peer computing; support vector machines; telecommunication traffic; transport protocols; BitTorrent; Emule; P2P traffic; Pareto estimates; TCP feature; centralized functions; filesharing applications; peer-to-peer technology; support-vector-machine; Life estimation; Lifetime estimation; Network servers; Pareto analysis; Payloads; Peer to peer computing; Protocols; Spine; Support vector machines; Telecommunication traffic; P2P Traffic; Pareto; TCP Feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469328
  • Filename
    4469328