| Summary: | 碩士 === 國立成功大學 === 工程科學系 === 106 === The topic of this paper is to identify the attacker’s presence in cognitive radio (CR) in high speed mobile environments which affected by multipath interference. With the rapid development of cognitive radio, several security issues have raised. Among these issues, the primary user emulation attack (PUEA) is widely discussed. In this work, we propose a method by using the correlation characteristics of received signal to identify the PUEA.
In high speed mobile wireless communication, the correlation characteristics of received signal that received from different speed of transmitters are unique. We use this feature to identify the PUEA. First, the maximum likelihood estimation (MLE) is used to estimate the correlation vector of the received signal and calculate its mean and covariance matrix. Then we use likelihood ratio test (LRT) and log likelihood ratio test (LLRT) to design a detector that used to identify the PUEA. The algorithm proposed in this paper has a better detection performance than the algorithm based on channel tap power and its detection performance isn’t affected by multipath.
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