Identification of Biometric-Based Continuous user Authentication and Intrusion Detection System for Cluster Based Manet

Abstract

Mobile ad hoc is an infrastructure less dynamic network used in many applications; it has been targets of various attacks and makes security problems. 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 proposed scheme, Dempster-Shafer theory is used for data fusion because more than one device needs to be chosen and their observation can be used to increase observation accuracy.