FUZZY BASED INTRUSION DETECTION SYSTEM FOR PREDICTION OF GRAY HOLE ATTACK IN MANET

Mobile Ad hoc networks are collections of mobile nodes with links that are made or broken in an arbitrary way. No centralized controller and infrastructure. A major issue in Mobile ad - hoc network is security. This also aims of the work in MANET. To detecti on of malicious nodes forms a very essential one of the part an approach to security. The main objective of this work is to detect the intrusions through Fuzzy logic that prevents the network from denying the active session or extract the confidential info rmation that is being shared. The proposed work uses fuzzy logic to identify the malicious nodes of capture the intrusion over MANET that networks as well as provide the best solution to reduce the execution time over the network. The proposed work uses AODV algorithm and implies some fuzzy rules. In this paper a mechanism based on fuzzy logic is proposed to detect the gray hole attack in MANET with AODV protocol. An introduction of gray hole in MANET with NS2 (2.34) is done, after applying fuzzy if then rule to detection of gray hole node. The results showed to get better reflect of the performance rate over the AODV algorithm. The proposed system is implemented using NS2 & its results show its more effectiveness and compared the results with existing wor ks.