A Hybrid Approach for Detecting and Preventing Security Attacks in MANETs

MANETs are new sort of organizational network that works in a profoundly powerful and unusual atmosphere. Though the flexible nature of MANET is attractive, the dynamic topology of MANETs brings in numerous threats. The existing Intrusion Detection Systems (IDS) doesn't strictly detect the generation of attacks namely Black Hole, Gray Hole, Worm Hole and additional routing attacks. Added to it, the traditional methods of protection techniques won't be sufficed as MANETs are capable of providing network even in the absence of fixed infrastructure. In this proposed system introduces a new technique to detect these attacks and also prevent the generation of attacks by using Black Hole, Gray Hole, Neuro-Fuzzy based (BGNF) based Intrusion Detection System. This BGNF based Particle Swarm Optimization (PSO) helps to optimize and minimize the false alarms and data loss.