Neighbor Detection-Based Spectrum Sensing Algorithm in Distributed Cognitive Radio Networks

• Published in: Chinese Journal of Electronics Vol. 26; no. 2; pp. 399 - 406
• Main Authors: Pei, Qingqi, Li, Hongning, Liu, Xianjun
• Format: Journal Article
• Language: English
• Published: Published by the IET on behalf of the CIE 01.03.2017
• Subjects: attacker detection; cognitive radio; Cognitive radio networks (CRNs); Connectivity; data tampering; decision making accuracy; distributed cognitive radio networks; malicious users; Neighbor detection; network connectivity; radio spectrum management; signal detection; Spectrum sensing data falsification (SSDF); spectrum sensing security; telecommunication security; 分布式; 感知; 攻击者; 无线电网络; 无线电频谱; 检测; 算法; 邻居; Spectrum sensing data falsification (SSDF); Connectivity; Cognitive radio networks (CRNs); Neighbor detection
• ISSN: 1022-4653; 2075-5597
• DOI: 10.1049/cje.2016.06.018

Security issues of spectrum sensing have drawn a lot of attentions in Cognitive radio networks（CRNs）.Malicious users can mislead the network to make wrong decision about the states of channels by tampering spectrum sensing data.To defense against Spectrum sensing data falsification（SSDF） attack,we propose a neighbor detection-based spectrum sensing algorithm in distributed CRNs,which can detect attackers with the help of neighbors during spectrum sensing to improve the accuracy of decision making.The proposed scheme can also guarantee the connectivity of the network.Simulation results illustrate that the proposed scheme can defense against SSDF attacks effectively and reach the unified information of spectrum sensing data.