• DocumentCode
    3199156
  • Title

    An Analytical Model for Primary User Emulation Attacks in Cognitive Radio Networks

  • Author

    Anand, S. ; Jin, Z. ; Subbalakshmi, K.P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ
  • fYear
    2008
  • fDate
    14-17 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we study the denial-of-service (DoS) attack on secondary users in a cognitive radio network by primary user emulation (PUE). Most approaches in the literature on primary user emulation attacks (PUEA) discuss mechanisms to deal with the attacks but not analytical models. Simulation studies and results from test beds have been presented but no analytical model relating the various parameters that could cause a PUE attack has been proposed and studied. We propose an analytical approach based on Fenton´s approximation and Markov inequality and obtain a lower bound on the probability of a successful PUEA on a secondary user by a set of co-operating malicious users. We consider a fading wireless environment and discuss the various parameters that can affect the feasibility of a PUEA. We show that the probability of a successful PUEA increases with the distance between the primary transmitter and secondary users. This is the first analytical treatment to study the feasibility of a PUEA.
  • Keywords
    Markov processes; approximation theory; cognitive radio; fading channels; radio networks; telecommunication security; Fenton approximation; Markov inequality; cognitive radio network; denial-of-service attack; fading wireless environment; primary user emulation attack; Analytical models; Cognitive radio; Computer crime; Emulation; Fading; Physical layer; Radio transmitters; TV receivers; Testing; White spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Frontiers in Dynamic Spectrum Access Networks, 2008. DySPAN 2008. 3rd IEEE Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-2016-2
  • Electronic_ISBN
    978-1-4244-2017-9
  • Type

    conf

  • DOI
    10.1109/DYSPAN.2008.16
  • Filename
    4658227