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Distributed Intrusion Detection System for Cognitive Radio Networks Based on Weighted Fair Queuing Algorithm

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  • M. Indhumathi
  • S. Kavitha

Abstract

Reliable detection of intrusion is the basis of safety in cognitive radio networks (CRNs). So far, few scholars applied intrusion detection systems (IDS) to combat intrusion against CRNs. In order to improve the performance of intrusion detection in CRNs, a distributed intrusion detection scheme has been proposed. In this paper, a method base on Dempster-Shafer's (DS) evidence theory to detect intrusion in CRNs is put forward, in which the detection data and credibility of different local IDS Agent is combined by D-S in the cooperative detection center, so that different local detection decisions are taken into consideration in the final decision. The effectiveness of the proposed scheme is verified by simulation, and the results reflect a noticeable performance improvement between the proposed scheme and the traditional method.

Suggested Citation

  • M. Indhumathi & S. Kavitha, 2018. "Distributed Intrusion Detection System for Cognitive Radio Networks Based on Weighted Fair Queuing Algorithm," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 426-436, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833232
    Note: Article URL: https://ijsrcseit.com/CSEIT1833232
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