Sustenance against RL-Based Sybil Attacks in Cognitive Radio Networks Using Dynamic Reputation System

In this paper, we formulate novel threat and defense mechanisms for the Sybil attack problem in Cognitive Radio Networks (CRN). We present potential identity sampling strategies that a malicious Sybil attacker can use to enhance its attack capability and impact without being detected. We investigate how a Sybil attacker can leverage reinforced learning… CONTINUE READING