Robust regression and outlier detection
Robust regression and outlier detection
Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Toward secure distributed spectrum sensing in cognitive radio networks
IEEE Communications Magazine
Review: Cognitive radio network security: A survey
Journal of Network and Computer Applications
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Distributed spectrum sensing provides an improvement for primary user detection but leads a new security threat into CR system. The spectrum sensing data falsification malicious users can decrease the cooperative sensing performance. In this paper, we propose a distributed scheme in which the presence and absence hypotheses distribution of primary signal is estimated based on past sensing received power data by robust statistics, and the data fusion are performed according to estimated parameters by Dempster-Shafer theory of evidence. Our scheme can achive a powerful capability of malicious user elimination due to the abnormality of the distribution of malicious users compared with that of other legitimate users. In addition, the performance of our data fusion scheme is enhanced by supplemented nodes' reliability weight.