An Improved Framework for Intrusion Prevention in a Host-based Biometric Identification System

Abstract

This research work is aimed at proposing a framework for intrusion prevention on host-based biometric identification systems (BIS). Intrusive activities in biometric identification systems are mostly perpetuated before the existing prevention systems prevent its future occurrence if the same pattern is exhibited by the perpetuator. The research produced a framework that shows an inclusion of a sensor database that registered all acceptable and certified sensors by the system to capture biometric image. This framework has shown using a developed application to some great extent how it is used to minimize the issue of fake template in the database which will make compromise easy. Once a sensor is attached to the BIS its status will be immediately shown and accessed for qualification to capture image.