Acta Metallurgica Sinica(English letters)

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


  • Received:2012-09-11 Revised:2012-12-04 Online:2013-04-30 Published:2013-04-26
  • Contact: Junhui-Hui ZHAO
  • Supported by:

    This work was 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), and the Program for New Century Excellent Talents in University of Ministry of China (NCET-12-0766)


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.

Key words:

cognitive radio, cooperative spectrum sensing, data falsification attack, weight sequential log-likelihood ratio detect

CLC Number: