A Secure Two-factor Authentication Framework Based on Deep Learning
Journal of Research in Science and Engineering · 2022
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.