ARC: Adaptive Reputation based Clustering Against Spectrum Sensing Data Falsification Attacks

摘要: IEEE 802.22 is the first standard based on concept of cognitive radio. It recommends collaborative spectrum sensing to avoid unreliability individual while detecting primary user signals. However, it opens an opportunity for attackers exploit decision making process by sending false reports. In this paper, we address security issues regarding distributed node in and discuss how can modify or manipulate their result independently collaboratively. This problem commonly known as data falsification (SSDF) attack Byzantine attack. To counter different attacking strategies, propose a reputation clustering algorithm that does not require prior knowledge attacker distribution complete identification malicious users. We provide extensive probabilistic analysis performance algorithm. compare our against existing approaches across wide range scenarios. Our proposed displays significantly reduced error rate comparison current methods. also identifies large portion nodes greatly minimizes detection honest nodes.