• DocumentCode
    2888283
  • Title

    A Distributed Intrusion Detection System for Ad-Hoc Wireless Sensor Networks: The AWISSENET Distributed Intrusion Detection System

  • Author

    Besson, Lionel ; Leleu, Philippe

  • Author_Institution
    Land & Joint Syst., Thales Commun. France, Colombes, France
  • fYear
    2009
  • fDate
    18-20 June 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Wireless sensor networks (WSNs) are quickly gaining popularity due to the fact that they are potentially low-cost solutions that can be used in a variety of application areas. However, they are highly susceptible to attacks and it is very probable that an intruder catches already existing security measures out. AWISSENET (ad-hoc personal area network & wireless sensor secure network) is a project funded by the European Union Information and Communication Technologies Program that is focused on security and resilience across ad-hoc personal area networks and wireless sensor networks, and provides a security toolbox for trusted route selection, secure service discovery and intrusion detection. This paper deals with intrusion detection systems for WSNs and how it is used in the AWISSENET project.
  • Keywords
    ad hoc networks; personal area networks; telecommunication network routing; telecommunication security; wireless sensor networks; ad hoc wireless sensor networks; distributed intrusion detection system; personal area network; secure service discovery; trusted route selection; wireless sensor secure network; Color; Computer vision; Feature extraction; Image segmentation; Image sensors; Intrusion detection; Reflectivity; Skin; Streaming media; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on
  • Conference_Location
    Chalkida
  • Print_ISBN
    978-1-4244-4530-1
  • Electronic_ISBN
    978-1-4244-4530-1
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2009.5367767
  • Filename
    5367767