2FA registration process automation & security enforcement

Abstract

This thesis presents the development and implementation of a system for automating the Two-Factor Authentication (2FA) process registration and extracting key metrics. The project aims to streamline and enhance the security of user authentication by automating the registration process for 2FA and extracting meaningful metrics for analysis. The system utilizes cutting-edge technologies and methodologies to achieve these objectives, including but not limited to, machine learning algorithms for data analysis, secure communication protocols for authentication, and user-friendly interfaces for seamless user interaction. The results demonstrate the feasibility and effectiveness of the proposed system in improving the security and efficiency of the 2FA process