ANALYSIS BASED IDS FOR MOBILE AD-HOC NETWORK

Abstract

Data mining technique is widely used everywhere. Mobile Adhoc Network (MANET) is the wireless network in which each node moves freely. The node inside the network acts both i.e. router and host as well. I will analyze the data mining technique such as classification and clustering for separating malicious, selfish nodes from loyal node. In clustering a network is created which is further divided into partitioned network with certain node as a cluster head.
The main issue in MANET is security of the node. It is possible that the node is turned into malicious or selfish node. In order to prevent packets from the malicious node the clustering technique is use to separate the nodes having intrusive behavior from the one having normal behavior. To overcome that problem we have to use intrusion detection system (IDS) which helps to improve the security of the node.