Malicious Secondary Users Detection Based on Spectral Clustering for Cooperative Spectrum Sensing in Cognitive Radio
Cognitive Radio is the most effective technology to deal with the contradiction between limitedspectrum radio resources and rapid growth of the traffic of wireless communications, and has been a hot issue.Cooperative spectrum sensing is a key scheme in the field of spectrum sensing, however, the effect will belargely degraded because of malicious SUs and malfunctioning SUs in cognitive radio network. Several me-thods proposed to mitigate the effects of malicious SUs on CSS, like Parameter Estimate, Weighted SequentialProbability Ratio Test and Outlier are shown to be effective. However, the disadvantage of methods proposedis high time complexity and relaying on the fusion center excessively. Considering the method of spectrum clustering,a new perspective proposed can separate malicious SUs from trusted ones under two mathematical models ofmalicious SUs：static unchanging behavior and dynamic changing behavior. Simulation results show spectrumclustering works well on the issue.
cognitive radio cooperative spectrum sensing maliciou secondary users spectrum clustering static unchanging behavior dynamic changing behavior
Yong ZHANG Xianda ZHANG
State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Automation, Tsinghua University, Beijiing 100084, China
国内会议
杭州
英文
103-106
2011-08-07（万方平台首次上网日期，不代表论文的发表时间）