Duration: 2017/1 – 2017/12
University: Concordia University of Edmonton
Present Position: IT and Network Security Analyst
Project/Thesis Title: Enhancing Bio-metric Security with Combinatoric Multi-Fingerprint Authentication Strategies
Abstract: Biometrics provides a reliable and unique solution for user authentication which increases the ease of usage as well as privacy and security of the various applications supporting biometric technology. The proposed method aims to improve the accuracy of the biometric authentication system by decreasing the False Acceptance Rates (FAR) and the False Rejection Rates (FRR). In our proposed research, we examined the effect of having different combinations and permutations of fingerprint samples and we show that our proposed method can reduce the security attacks on Biometric authentication systems.