AMBAS: an autonomous multimodal biometric authentication system. (5th July 2019)

• Record Type: Journal Article
• Authors: Mansour, Abdeljebar; Sadik, Mohamed; Sabir, Essaid; Jebbar, Mostafa
• Is Part Of: International journal of autonomous and adaptive communications systems. Volume 12:Number 3(2019)
• Page Start: 187
• Page End: 217
• Publication Date: 2019-07-05
• Subjects: multi-factor authentication -- multimodal biometric authentication -- MBA -- multimodal biometrics -- discrete-time Markov chains -- DTMCs -- autonomous systems -- user experience -- computer security; Adaptive computing systems -- Periodicals; Wireless communication systems -- Periodicals; Computer networks -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-8632

Abstract

The traditional authentication techniques based on single factors such as passwords and tokens suffer from problems related to their robustness. Moreover, multi-factor authentication based on multimodal biometrics (MFA-MB) technique is used to overcome the drawbacks related to these techniques and also the problems related to the biometrics using single traits. Based on MFA-MB, this paper aims to model and develop an autonomous multimodal biometric authentication system called 'AMBAS' using discrete-time Markov chains in order to decrease the complexity of the multimodal biometric system used in the MFA-MB scheme. In fact, giving the self-control to the AMBAS will improve therefore one user experience and achieve as well good performances in terms of authentication time. This system aims to identify users according to four different methodologies. While giving a case study with three-modal biometrics, we exhibit the performed algorithms. A simulation is done in order to test the system performances and usefulness.