Weight sequential log-likelihood ratio detect algorithm with malicious users removing  被引量:4

Weight sequential log-likelihood ratio detect algorithm with malicious users removing

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作  者:ZHAO Jun-hui LI Fei YANG Tao 

机构地区:[1]State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University [2]Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences

出  处:《The Journal of China Universities of Posts and Telecommunications》2013年第2期60-65,共6页中国邮电高校学报(英文版)

基  金:supported by the National Natural Science Foundation of China(61172073);the State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University(RCS2011ZT003);the Open Research Fund of Key Laboratory of Wireless Sensor Network & Communication,Chinese Academy of Sciences(2011005);the Fundamental Research Funds for the Central Universities of Ministry of Education of China(2013JBZ001,2012YJS129,2009JBM012);the Program for New Century Excellent Talents in University of Ministry of China(NCET-12-0766)

摘  要: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.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.

关 键 词:cognitive radio cooperative spectrum sensing data falsification attack weight sequential log-likelihood ratio detect 

分 类 号:TN925[电子电信—通信与信息系统]

 

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