• DocumentCode
    1693970
  • Title

    An Effective Early Warning Scheme against Pollution Dissemination for BitTorrent

  • Author

    Luo, An´an ; Lin, Chuang ; Jiang, Yixin ; Chu, Xiaowen ; Yang, Hongkun

  • Author_Institution
    Tsinghua Nat. Lab. for Inf. Sci. & Technol., China
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    BitTorrent is one of the most popular P2P file sharing systems. However, chunk-based file sharing mode makes it difficult to detect content pollution and prevent pollution dissemination during downloading process. In this paper, we propose an early warning scheme against pollution dissemination for BitTorrent. Our idea is to build an early cooperative warning mechanism and rapidly spread alert message among peers in the swarm when pollution is detected at the early stage, which is called "early warning, quickly reacting". The performance evaluation based on fluid model shows the necessity and effectiveness of our scheme, which effectively reduces the traffic abusement and restricts pollution dissemination in BitTorrent-like P2P networks. Another advantage of our solution is that it can handle cheating behaviors made by malicious or unconscious peers, which shows the robustness of our solution.
  • Keywords
    peer-to-peer computing; security of data; software performance evaluation; BitTorrent; P2P file sharing systems; cheating behaviors; chunk-based file sharing mode; early cooperative warning mechanism; fluid model; performance evaluation; pollution dissemination; Computer science; Discussion forums; Information science; Laboratories; Peer to peer computing; Pollution; Protocols; Robustness; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-4148-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2009.5425872
  • Filename
    5425872