• DocumentCode
    3687595
  • Title

    A data fusion technique to detect wireless network virtual jamming attacks

  • Author

    G. Escudero-Andreu;K. G. Kyriakopoulos;F. J. Aparicio-Navarro;D. J. Parish;D. Santoro;M. Vadursi

  • Author_Institution
    School of Electronic, Electrical and Systems Engineering, Loughborough University, LE11 3TU Loughborough, U.K.
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless communications are potentially exposed to jamming due to the openness of the medium and, in particular, to virtual jamming, which allows more energy-efficient attacks. In this paper we tackle the problem of virtual jamming attacks on IEEE 802.11 networks and present a data fusion solution for the detection of a type of virtual jamming attack (namely, NAV attacks), based on the real-time monitoring of a set of metrics. The detection performance is evaluated in a number of real scenarios.
  • Keywords
    "Measurement","Jamming","Monitoring","IEEE 802.11 Standard","Wireless communication","Observers","Data integration"
  • Publisher
    ieee
  • Conference_Titel
    Measurements & Networking (M&N), 2015 IEEE International Workshop on
  • Type

    conf

  • DOI
    10.1109/IWMN.2015.7322978
  • Filename
    7322978
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3687595