A Study on Multifactor Authentication Model Using Fingerprint Hash Code, Password and OTP

By definition, Authentication is using one or multiple mechanisms to show that you are who you claim to be. As soon as the identity of the human or machine is demonstrated, then human or machine is authorized to grant some services. The modern research study reveals that fingerprint is not so secured like secured a password which consists of alphanumeric characters, number and special characters. Fingerprints are left at crime places, on materials or at the door which is usually class of latent fingerprints. We cannot keep fingerprint as secure like rigid passwords. Using some modern technology with copper and graphite spray it's easy to mimic fingerprint image. Fingerprints are a half-secret if passwords are leaked or hacked, it easily revocable using another password. But in a biometric security system, which uses only biometric features, is not easy to change fingerprint key or fingerprint are static biometric, which never change much throughout the lifespan. Fingerprints are left at car, door or anyplace where every person goes and places his finger. Fingerprint Hash code is not used for full security or authentication purpose but it can be combined with other security elements like password or OTP in order to enhance security. In this paper, a novel method for Authentication is proposed by making use of Fingerprint Hash Code, Password, and OTP. In this study, we make use of Euclidean Distance to generate fingerprint Hash Code. Fingerprint Hash code is generated using MD5 Hash Function. The Model is implemented using MATLAB2015a. This paper also analyzes novel Authentication model used in this study with the aid of ABCD analysis