A Collaborative Intrusion Detection System for Cognitive Radio Networks with Trust and Reputation Management

Systems administration cognitive radios and hubs from primary system (PS) results in a heterogeneous existing together multi radio remote system, with the goal that critical system throughput addition can be accomplished. Be that as it may, by exploring cognitive radio networks (CRN) engineering, the connections in CRNs are probably not going to help total security check because of connection elements, crafty accessibility, and uni-directional in accessible time window, so trust and reputation system is required. CORE is a reputation based security mechanism which enforces cooperation of nodes in CRN. CONFIDANT is based on selective unselfish and belief in mobile nodes and it aims to detect and isolate misbehaving nodes. Both CORE and CONFIDANT mechanism give the trustworthiness of all mobile nodes in the network and it punishes misbehaving nodes once it detected. This paper gives the comparative study of trust based neighbor monitoring CORE and CONFIDANT on secured routing protocols. The simulation results shows that our work provides better detection efficiency, better detection coverage and packet delivery ratio in routing protocols with neighbor monitoring scheme.