• DocumentCode
    3322587
  • Title

    BitTorrent Worm Sensor Network : P2P Worms Detection and Containment

  • Author

    Hatahet, Sinan ; Challal, Yacine ; Bouabdallah, Abdelmadjid

  • Author_Institution
    Univ. de Technol. de Compiegne, Compiegne
  • fYear
    2009
  • fDate
    18-20 Feb. 2009
  • Firstpage
    293
  • Lastpage
    300
  • Abstract
    Peer-to-peer (p2p) networking technology has gained popularity as an efficient mechanism for users to obtain free services without the need for centralized servers. Protecting these networks from intruders and attackers is a real challenge. One of the constant threats on P2P networks is the propagation of active worms. In 2007, Worms have caused damages worth the amount of 8,391,800 USD in the United States alone. Nowadays, BitTorrent is becoming more and more popular, mainly due to its fair load distribution mechanism. Unfortunately, BitTorrent is particularly vulnerable to active worms. In this paper, we propose a novel worm detection system in BitTorrent and evaluate it. We show that our solution can detect various worm scans before 1% of the vulnerable hosts are infected in worst case scenarios. Our solution, the BitTorrent worm sensor network, is built over a network of immunized agents, which their main job is to efficiently stop worm spread in BitTorrent.
  • Keywords
    distributed sensors; invasive software; peer-to-peer computing; telecommunication security; BitTorrent worm sensor network; free service; free services; intruder protection; load distribution mechanism; p2p worm detection; peer-to-peer networking technology; Ad hoc networks; Availability; Costs; Fault tolerance; Internet; Network servers; Peer to peer computing; Protection; Scalability; Telecommunication traffic; BitTorrent; Modeling; P2P; Security; Worms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-based Processing, 2009 17th Euromicro International Conference on
  • Conference_Location
    Weimar
  • ISSN
    1066-6192
  • Print_ISBN
    978-0-7695-3544-9
  • Type

    conf

  • DOI
    10.1109/PDP.2009.61
  • Filename
    4912946