A Robust Spectrum Sensing in Cognitive Radio Networks in the Presence of Malicious Attack Using Energy Detection

Address for Correspondence Head of the Department, PG Student, Kamaraj College of Engineering and Technology, Virudhunagar, Tamilnadu India. ABSTRACT In this paper to propose an approach for detecting the presence of malicious attack which is commonly known as primary user emulation attack (PUEA), this type of attack act as the primary signal and delude the secondary user and occupy the whole frequency spectrum. The PUE attack sends fake signal similar to the primary signal in which it aware of whole spectrum. Then the cooperative spectrum sensing (CSS) OR rule is applied in cognitive radio network and spectrum sensing is based on energy detection scheme. The proposed method is simulated in AWGN channel, Rayleigh channel, Rician channel environment. The probability of error is minimize for different false alarming values in AWGN channel. ROC is drawn for validating the simulated results with analytical equations.