Maximum-minimum Eigenvalue Detection-based Method to Mitigate the Effect of the PUEA in Cognitive Radio Networks

摘要：

In cognitive radio (CR) networks, secure spectrum sensing is a very important issue. The primary user emulation attack (PUEA), a special attack of the spectrum sensing technology in CR Networks, reduces the spectrum utilization obviously. And our analysis reveals the undetected PUEA can prevent unlicensed users from accessing the space licensed spectrum effectively. In this paper, we propose the maximumminimum eigenvalue detection-based method to mitigate the effect of the undetected PUEA in CR networks with correlated signals and spatially-correlated shadow fading. In our proposed method, the spatial correlation characteristic is used to select users attending the cooperation of the spectrum sensing. Simulation results show that our proposed method can effectively mitigate the effect of the PUEA.

关键词： Primary user emulation attack (PUEA) correlated signals spatial correlation-based user selection algorithm maximum-minimum eigenvalue (MME) detection

作者: Fayu Liu Huifang Chen Lei Xie Kuang Wang

作者单位: Dept. of Information Science and Electronic Engineering, Zhejiang University No. 38, Zheda Road, Han Dept. of Information Science and Electronic Engineering, Zhejiang University Zhejiang Provincial Key Dept. of Information Science and Electronic Engineering, Zhejiang University Zhejiang Provincial Key

会议类型: 国际会议

会议名称: 2011年无线通信与信号处理国际会议(WCSP 2011)

会议地点: 南京

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-09（万方平台首次上网日期，不代表论文的发表时间）