An Heuristic Wsprt Fusion Algorithm Against High Proportion Of Malicious Users

Spectrum Sensing Data Falsification (SSDF) is a critical threat to collaborative spectrum sensing (CSS) in cognitive radio networks. Especially, with increasing of amount of malicious users (MUs), SSDF causes enormous damage. Most studies have achieved success in the scenario that MUs are much less than honest users (HUs), but in this paper, we mainly consider the scenario that MUs are at high proportion in the network. In order to alleviate performance deterioration caused by SSDF attack in the scenario with a high proportion of MUs, we propose a heuristic weighted sequential probability ratio test (HWSPRT) algorithm. Based on WSPRT, we provide a secure fusion approach. Simulation results have shown that the proposed algorithm provides a better performance than WSPRT algorithm in the network containing a high proportion of MUs.