Entropy-Based Weighted Decision Combining for Collaborative Spectrum Sensing Over Byzantine Attack

Abstract

Collaborative spectrum sensing (CSS) as a promising solution is widely adopted for identifying available spectrum. However, such cooperation is vulnerable to be threatened by Byzantine attack. To defend against such attack, a low-complexity entropy-based credibility weighted CSS scheme is proposed, where each sensing node’s weight is evaluated based on the inconsistency property of received data at the fusion center within two consecutive sensing slots during a sliding window . Unlike the existing approaches, the proposed scheme is suitable for homogeneous and heterogeneous scenarios and neither requires prior knowledge of attack behaviors nor reference sensing information. Simulation results show the validity of the proposed strategy to resist attack scenarios where a large fraction of attackers with varying probabilities range between 0.2 and 0.8.