An Improved Spectrum Sensing Data-Fusion Algorithm Based on Reputation

A false sensing information attack can cause the detection performance down for cognitive radio, for this problem, this paper presents an improved weighted sequential probability ratio test (WSPRT) algorithm by based on an accuracy combining effectively using the user data of small weight. The method enhances weight by recording the accordant times between the previous spectrum sensing report and the final spectrum sensing decision, at the same time, the malicious users are distributed smaller weights in order to use the sending data of malicious users. Simulation results show that the improved algorithm can be effectively resist spectrum sensing data falsification (SSDF) attacks by comparing with traditional WSPRT when there are more malicious users.