Fusion-Based Multi-biometrics Authentication System with Intrusion Detection and Prevention Anamoly

Abstract

The Biometrics denotes the metrics that are connected to the features of the human being. Biometric traits are normally used to report the individuals. Biometric determiners are normally divided as behavioural or the physiological identifiers, specifically related to the behaviour of person(s) or the shape, respectively, and using the determiners such as the face, iris or retina, finger–knuckle prints, etc., help to decrease the chances of any system to be compromised. Identity verification of individual(s) is treated as the basic principle in all the organizations, be that a governmental organization, semi-government organization, legal or forensic operations, or in the civilian applications. This principle of this research is to make the use of the various Biometrics traits together, which helps in overcoming the problems that are usually raised in traditional-recognition systems, thus making the recognition systems well-protected from the spoofing attacks. The suggested work aims to make the attacks on the recognition system challenging task, and adding the preventive and detective measures against the spoof attacks. The main purpose of this work is to make sure that the fundamental principle of security, that is integrity, is not compromised.