A novel secure cooperative cognitive radio network based on Chebyshev map

Cooperative networks have been proposed as an efficient solution to improve the detection capability of a cognitive radio system. This type of networks is highly vulnerable to different attacks by malicious users, which leads to harmful interferences between the primary user and the secondary user. Therefore, secure communication links between the nodes cooperating in the network are extremely needed. To handle the security issues in centralized cooperative cognitive radio networks and minimize the charge of the secondary users, we proposed two new processes, namely authentication process and shifted spectrum sensing process. In the first process, we define a single and double authentication to detect the malicious users and eliminate them in the final sensing decision. These techniques are based on a secure compressive sensing method using the Chebyshev sensing matrix. In the second process, we present a new sensing technique based on a shifting concept and time-division to scan a wideband spectrum with a high probability of detection. Numerical simulations of the authentication process prove that the double authentication gives better results for malicious users detection for a compression ratio of 30%. While the simulation results of the shifted sensing process have led to define the appropriate energy threshold range, and the optimal value of the fusion center combiner that should be used for an efficient detection of the primary signal.