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Research Paper | Information Security | Saudi Arabia | Volume 10 Issue 12, December 2021

Secure Two Factor Authentication Framework based on Deep Learning

Talal Eid Alanzi | Dr. Mohammed Naif Alatawi

Abstract: Nowadays, many web sites make use of log in capabilities to permit users to get entry to protected information. From old days username and password has been the usual for accomplishing this. The hassle with this is that human beings generally tend to apply vulnerable password and frequently the equal password for more than one domain. Shared passwords between more than one domain, specifically vulnerable passwords, present high security risks, from this an attacker may take advantage of this to have unauthorized control for one or numerous of a user?s accounts. This research intends to propose an efficient two-factor authentication for web page. The research presents drawbacks issues of two-factor web authentication based on multimodal biometric authentication.

Keywords: authentication, biometric, two-factor authentication, unauthorized control, vulnerable passwords, Web authentication

Edition: Volume 10 Issue 12, December 2021,

Pages: 624 - 630