An effective collaborative spectrum sensing method against SSDF attack

摘要

Spectrum sensing plays an important role in improving the spectrum utilization of cognitive radio networks (CRN). However, Byzantine attackers may incur the spectrum sensing performance degradation severely. Therefore, this paper presents an effective Correlation coefficient method against Byzantine attack (also known as SSDF attack) for collaborative spectrum sensing problem. Firstly, the proposed method exploits the path loss factor to improve the reliability of the data. And then, the fusion center utilizes the correlation of the perceived data in different time windows to detect the attackers. Eventually, the fusion center makes the final decision by comparing the detection statistics and the threshold weighted with path loss factor. Simulation results testify the effectiveness of the presented algorithm.