Adopting cross layer approach for detecting and segregating malicious nodes in MANET

In this paper, we propose a cross layer approach to detect the malicious node in MANET. We develop a cross layer data monitoring algorithm in order to correlate the MAC (Medium Access Control) layer parameters with network layer parameters for effectively detecting malicious nodes from the network. For segregating the malicious nodes, our approach utilizes both the single and cross layer parameters. information about detected malicious node ids from the network is broadcasted to the other nodes in the network. The routing protocol which is used in the simulation is AODV (Ad Hoc On-Demand Distance Vector). The performance of our technique is proved by the simulation of our system model using the network simulator NS-2. Experimental analysis reveals that our proposed approach defends the Black hole attack with better performance in terms of packet loss ratio, packet delivery ratio and Normalized Routing Load.