Cooperative Spectrum Sensing with Peer-Assessment for Cognitive Radio Network

Abstract:

Cognitive radio (CR) is a promising technology which has the potential to utilize the scarce spectrum resources with high flexibility and efficiency. It’s well accepted that cooperative spectrum sensing (CSS) with numbers of cognitive users (CUs) located in a wide geographical area can achieve much better sensing performance. However, some CRs may misbehave and provide false sensing information in order to deteriorate the system’s performance. This misbehavior is known as spectrum sensing data falsification (SSDF) attack. In this paper, we propose a secure spectrum sensing scheme using peer-assessment to detect malicious CUs and filter their spectrum sensing results out of the final decision making process. The robustness and efficiency of the proposed scheme are verified through extensive computer simulations in presence of SSDF attacks.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 2228-2232
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.2228
• Online since: May 2014
• Authors: Su Qin Xu*, Yi Tao Xu, Han Jiang, Xiang Gao, Kang Luo
• Keywords: Cognitive Radio (CR), Cooperative Spectrum Sensing, Peer-Assessment, Spectrum Sensing Data Falsification Attack

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