A Cross-Layer based Hidden Marko(C-HMM) Model for Detection and Prevention of Malicious Attacks in Wireless Ad-hoc Networks

Wireless mobile ad-hoc network is a self-configuring network which is used several mobile nodes. Mobile nodes are hop to hop communication between the nodes. In recent years' malicious attacks (blackhole and wormhole attack) have a serious thread in wireless communication. Blackhole attack and wormhole attack consume more energy, computing resource, network behaviour. In this paper a novel Cross-layer based Hidden Marko model(C-HMM) is proposed to detect and isolating a blackhole and wormhole attacks with high performance and less communication cost in wireless ad-hoc networks. The proposed algorithm C-HMM beats HMM in terms of packet loss ratio, delay, packet received and PDR. Experimental results are comparing with various parameters with help of ns2.34 simulation software.