• DocumentCode
    2774364
  • Title

    Defending against Hit-and-Run Attackers in Collaborative Spectrum Sensing of Cognitive Radio Networks: A Point System

  • Author

    Noon, Evan ; Li, Husheng

  • Author_Institution
    Farragut High Sch., Knoxville, TN, USA
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Collaborative spectrum sensing is an important technique to combat many random factors in cognitive radio systems. However, it is vulnerable to attacks like false reports of spectrum situation. Particularly, a hit-and-run attack policy is proposed in this paper, which cannot be be mitigated by traditional approaches of attacker detection in cognitive radio systems. Motivated by the system of points for penalizing reckless drivers in DMV, a point based attacker detection algorithm is proposed, whose effectiveness is demonstrated by numerical simulations.
  • Keywords
    cognitive radio; numerical analysis; attacker detection; cognitive radio networks; cognitive radio systems; collaborative spectrum sensing; hit-and-run attackers; numerical simulations; Bayesian methods; Cognitive radio; Collaboration; Data mining; Detection algorithms; Licenses; Logic; Numerical simulation; Pre-college programs; Pressing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
  • Conference_Location
    Taipei
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2518-1
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2010.5494003
  • Filename
    5494003