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作 者:YE Fang BAI Ping TIAN Yuan
出 处:《Journal of Systems Engineering and Electronics》2020年第2期243-251,共9页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61701134,51809056);the Fundamental Research Funds for the Central Universities of China(HEUCFM180802);the National Key Research and Development Program of China(2016YFF0102806);the Natural Science Foundation of Heilongjiang Province,China(F2017004)。
摘 要:In cognitive radio networks, spectrum sensing is one of the most important functions to identify available spectrum for improving the spectrum utilization. Due to the open characteristic of the wireless electromagnetic environment, the wireless network is vulnerable to be attacked by malicious users(MUs), and spectrum sensing data falsification(SSDF) attack is one of the most harmful attacks on spectrum sensing performance. In this article,an algorithm based on the evidence theory and fuzzy entropy is proposed to resist SSDF attacks. In this algorithm, secondary users(SUs) obtain the corresponding degree of membership function and basic probability assignment function based on the local energy detection result. The new conflicting coefficient is calculated based on the evidence distance and classical conflicting coefficient, and the conflicting weight of the evidence is obtained.The fuzzy weight is calculated by the fuzzy entropy. The credibility weight is obtained by updating the credibility. On this basis, the probability assignment function of the evidence is corrected, and the final result is obtained by using the fusion formula. Simulation results show that the proposed algorithm has a higher detection probability and lower false alarm probability than other algorithms.It can effectively defend against SSDF attacks and improve the performance of spectrum sensing.
关 键 词:cooperative SPECTRUM SENSING EVIDENCE theory fuzzy ENTROPY SPECTRUM SENSING data falsification(SSDF)
分 类 号:TN925[电子电信—通信与信息系统]
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