Weight sequential log-likelihood ratio detect algorithm with malicious users removing |
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Authors: | ZHAO Jun-hui LI Fei YANG Tao |
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Affiliation: | [1]State Key Laboratory of Rai! Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044. China [2]Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China |
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Abstract: | Due to the openness of the cognitive radio network, spectrum sensing data falsification (SSDF) can attack the spectrum sensing easily, while there is no effective algorithm proposed in current research work, so this paper introduces the malicious users removing to the weight sequential probability radio test (WSPRT). The terminals' weight is weighted by the accuracy of their spectrum sensing information, which can also be used to detect the malicious user. If one terminal owns a low weight, it can be treated as malicious user, and should be removed from the aggregation center. Simulation results show that the improved WSPRT can achieve higher performance compared with the other two conventional sequential detection methods under different number of malicious users. |
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Keywords: | cognitive radio cooperative spectrum sensing data falsification attack weight sequential log-likelihood ratio detect |
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