Reputation-based secure spectrum situation fusion in distributed cognitive radio networks

Abstract

In distributed cognitive radio (CR) network, the cooperative spectrum situation sensing based on consensus scheme may be disrupted by spectrum sensing data falsification (SSDF) attacks. In this paper, a secure spectrum situation fusion scheme based on reputation is proposed to counter attacks. The neighboring nodes of secondary users (SUs) get the Corresponding dynamic trust value according to their behavior, which restrict the impact of the malicious behavior on the premise to ensure information interaction of normal nodes. Theoretical analysis and simulation results show that the consensus fusion scheme based on reputation has better performance than the existing algorithm which eliminates the neighboring node with the biggest deviation value from mean value. It demonstrates that the proposed scheme not only achieves better convergence properties but also has higher detection probability than the existing scheme in the process of spectrum situation fusion.