• DocumentCode
    23567
  • Title

    Securing cognitive radio networks against primary user emulation attacks

  • Author

    Rong Yu ; Yan Zhang ; Yi Liu ; Gjessing, Stein ; Guizani, Mohsen

  • Author_Institution
    Sch. of Autom., Guandgong Univ. of Technol., Guandgong, China
  • Volume
    29
  • Issue
    4
  • fYear
    2015
  • fDate
    July-August 2015
  • Firstpage
    68
  • Lastpage
    74
  • Abstract
    CR is a promising technology for next-generation wireless networks in order to efficiently utilize the limited spectrum resources and satisfy the rapidly increasing demand for wireless applications and services. Security is a very important but not well addressed issue in CR networks. In this article we focus on security problems arising from PUE attacks in CR networks. We present a comprehensive introduction to PUE attacks, from the attacking rationale and its impact on CR networks, to detection and defense approaches. In order to secure CR networks against PUE attacks, a two-level database-assisted detection approach is proposed to detect such attacks. Energy detection and location verification are combined for fast and reliable detection. An admission control based defense approach is proposed to mitigate the performance degradation of a CR network under a PUE attack. Illustrative results are presented to demonstrate the effectiveness of the proposed detection and defense approaches.
  • Keywords
    cognitive radio; telecommunication congestion control; telecommunication security; CR network; PUE attack; admission control based defense approach; cognitive radio network security; energy detection; location verification; next-generation wireless network; primary user emulation attack; two-level database-assisted detection approach; Computer security; Data integration; Databases; Detectors; Fingerprint recognition; Interference;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2015.7166193
  • Filename
    7166193