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

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 p...

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Bibliographic Details
Published in电子学报:英文版 no. 2; pp. 399 - 406
Main Author PEI Qingqi LI Hongning LIU Xianjun
Format Journal Article
LanguageEnglish
Published 2017
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Summary: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.
Bibliography:10-1284/TN
PEI Qingqi;LI Hongning;LIU Xianjun;State Key Laboratory of Integrated Services Networks,Xidian University
ISSN:1022-4653