Stretch and Shrink Method for Security in MANET Using Biometric and Intrusion Detection System

Mobile ad hoc is an infrastructure less dynamic network used in many applications; it has been target of various attacks and it makes security problems. The MANET is a collection of autonomous wireless nodes, in which each node changes its geographical position frequently and acts as a router to forward packets. This work aims to provide an enhanced level of security by using the prevention based and detection based approaches such as authentication and intrusion detection. The multi-model biometric technology is used for continuous authentication and intrusion detection in high security cluster based MANET. In this paper, an attempt has been made to combine continuous authentication and intrusion detection. In this scheme, Dempster-Shafer theory is used for data fusion because more than one device needs to be chosen and their observation can be fused to increase observation accuracy. The topology stability and network scalability are playing a significant role in mobile ad hoc to determining the network performance. Hence an attempt has been made to analyze the factors such as nearest neighbor and association rule mining in the ad hoc network’s bench mark algorithms such as LCA2, load balance, adaptive multi-hop algorithm and Basagni’s DCA and DMAC to form a clustered mobile ad hoc network.