Trust Value based Algorithm to Identify and Defense Gray-Hole and Black-Hole attack present in MANET using Clustering Method

Abstract

A Mobile ad hoc network (MANET) is infrastructure less network and has numbers of mobile nodes. Any node can work as a router that receives and sends packets and routes them. Networks are highly affected by various types of attacks so securities are a challenges factor. Proper energy utilization becomes a challenging issue because of its highly decentralized infrastructure, dynamic topology and resource constrained. In this research paper, we use 32 mobiles nodes in the network, there are not any centralize control in the network so we implemented clustering technology for proper energy utilization of nodes. Dividing all nodes into three clusters, in each cluster selected cluster head which has maximum energy level. In MANET packet dropped or delayed by the malicious node. Hence, there is the need for effective intrusion detection system which can detect a maximum number of the intruder and corresponding packets be forwarded through some alternate paths in the network. We propose an alternate solution to detect the malicious node with help of trust value. It would remove the need for inbuilt IDS in the wireless networks and result in improving the performance of the network.