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A Secure Distributed Spectrum Sensing Scheme in Cognitive Radio

机译:认知无线电中的安全分布式频谱感知方案

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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.
机译:分布式频谱感测为主要用户的检测提供了改进,但给CR系统带来了新的安全威胁。频谱感知数据伪造恶意用户会降低协同感知性能。在本文中,我们提出了一种分布式方案,其中基于鲁棒统计量基于过去感测到的接收功率数据来估计主信号的存在和不存在假设分布,并根据Dempster-Shafer证据理论根据估计的参数执行数据融合。 。与其他合法用户相比,由于恶意用户分布的异常,我们的方案可以实现强大的恶意用户清除能力。此外,补充节点的可靠性权重可提高我们数据融合方案的性能。

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