KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Malicious User Suppression Based on Kullback-Leibler Divergence for Cognitive Radio

  • Van, Hiep-Vu (School of Electrical Engineering, University of Ulsan) ;
  • Koo, In-Soo (School of Electrical Engineering, University of Ulsan)
  • Received : 2011.03.18
  • Accepted : 2011.06.08
  • Published : 2011.06.28
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Abstract

Cognitive radio (CR) is considered one of the most promising next-generation communication systems; it has the ability to sense and make use of vacant channels that are unused by licensed users. Reliable detection of the licensed users' signals is an essential element for a CR network. Cooperative spectrum sensing (CSS) is able to offer better sensing performance as compared to individual sensing. The presence of malicious users who falsify sensing data can severely degrade the sensing performance of the CSS scheme. In this paper, we investigate a secure CSS scheme, based on the Kullback-Leibler Divergence (KL-divergence) theory, in order to identify malicious users and mitigate their harmful effect on the sensing performance of CSS in a CR network. The simulation results prove the effectiveness of the proposed scheme.

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References

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