Local outlier factor based cooperation spectrum sensing scheme for defending against attacker

Cooperative spectrum sensing is proposed as an efficient way to detect the spectrum holes in cognitive radio networks (CRNs). This technique, however, opens a window for malicious users (MUs) and attackers, who send distorted spectrum sensing data to the FC. In order to defend against such attacks, it is necessary for the FC to distinguish the trustiness of the reports from SUs. In this paper, we investigate a scheme to identify and eliminate the several malicious users based Local Outlier Factor (LOF). The proposed sensing scheme shows the better performance than recent research works to deal with malicious users, while does not required to any other pre-knowledge about data distribution and network topology. The performance of the proposed scheme are studied and evaluated using simulations.