Enhancing Biometric Security with Combinatorial and Permutational Multi-Fingerprint Authentication Strategies
Pratibha Singh, Hamman Samuel, Fehmi Jaafar, Darine Ameyed · 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · 2022
Biometrics provide an efficient solution for user authentication as researchers and practitioners are using biometrics to increase the ease of usage and to ensure the privacy and security of applications. In this paper, we propose a method to improve the accuracy of the biometric authentication system by decreasing the False Acceptance Rates (FAR) and the False Rejection Rates (FRR). We examine the effect of having different combinations and permutations of fingerprint samples to specify a multi-factor authentication scheme. We find that our approach reduce the attack on the system by imposters and improve the accuracy of the biometric authentication systems by reducing the two used metrics of error.