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

doi:10.1016/S1005-8885(13)60029-1

中国邮电高校学报(英文)

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

赵军辉¹,李非¹,杨涛²

1. 北京交通大学
2. 北京交通大学电子信息工程学院

收稿日期:2012-09-11 修回日期:2012-12-04 出版日期:2013-04-30 发布日期:2013-04-26
通讯作者: 赵军辉 E-mail:junhuizhao@gmail.com
基金资助:
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)

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 E-mail:junhuizhao@gmail.com
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)

摘要/Abstract

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.

关键词:

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

Abstract:

Key words:

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

中图分类号:

TN929.5

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

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

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