东南大学学报（英文版）2018，Vol.34Issue(4)：439-443,5.DOI:10.3969/j.issn.1003-7985.2018.04.004
基于双边阈值的抗Byzantine攻击协作频谱感知算法
Cooperative spectrum sensing algorithm based on bilateral threshold selection against Byzantine attack
摘要
Abstract
To deal with Byzantine attacks in 5G cognitive radio networks, a bilateral threshold selection-based algorithm is proposed in the spectrum sensing process. In each round, secondary uses ( SUs ) first submit the energy values and instantaneous detection signal-to-noise ratios ( SNRs ) to the fusion center ( FC ) . According to detection SNRs, the FC conducts normalization calculations on the energy values. Then, the FC makes a sort operation for these normalized energy values and traverses all the possible mid-points between these sorted normalized energy values to maximize the classification accuracy of each SU. Finally, by introducing the recognition probability and misclassification probability, the distributions of the normalized energy values are analyzed and the bilateral threshold of classification accuracy is obtained via a target misclassification probability. Hence, the blacklist of malicious secondary users ( MSUs ) is obtained. Simulation results show that the proposed scheme outperforms the current mainstream schemes in correct sensing probability, false alarm probability and detection probability.关键词
认知无线电/Byzantine攻击/双边阈值/误筛概率/识别概率Key words
cognitive radio/Byzantine attack/bilateral threshold/misclassification probability/recognition probabili-ty分类
信息技术与安全科学引用本文复制引用
朱翰宬,宋铁成,吴俊,李茜,胡静..基于双边阈值的抗Byzantine攻击协作频谱感知算法[J].东南大学学报（英文版）,2018,34(4):439-443,5.基金项目
The National Natural Science Foundation of China ( No. 61771126, 61372104 ) , the Science and Technology Project of State Grid Corporation of China (No. SGRIXTKJ[2015]349). （ No. 61771126, 61372104 ）
