Improved energy detector against Malicious Primary User Emulation Attack in cognitive radio network

摘要

The improved energy detector based on cooperative spectrum sensing is proposed to defend Malicious Primary User Emulation Attack (MPUEA) in cognitive radio network. In the scheme, the improved energy detector and optimal weighting algorithm are used to replace the conventional energy detector and Maximum Ratio Fusion (MRC) algorithm respectively. It maximizes the probability of detection when the probability of false alarm is a fixed value. It is shown by simulations that the Primary User (PU) can improve the performance of the detection by increasing the transmission power, and minimize influence of MPUEA on the system in the new scheme.