Personalized Image Verification in a User-Centric Two-Factor Authentication System

Strong authentication procedures are necessary for modern web apps to prevent unwanted access to private user information.Attacks like password guessing, phishing, and credential theft can compromise traditional password-based authenticationsystems. This study suggests a user-centric two-factor authentication system that combines conventional password authentication with customized image verification in order to overcome these difficulties. In the suggested method, users select their pre-registered personalized image to confirm their identity after initially authenticating with their credentials. While preserving usability, this extra layer of authentication greatly increases security. With features like user registration, login authentication, customized image management, and optional Google Authenticator integration for increased security,the system is constructed as a web application using Python and Django. Results from experiments show that the suggested method successfully improves authentication security without sacrificing an easy-to-use interface. Keywords:Two-Factor Authentication, Image-Based Authentication, Web Security, User Authentication, Multi-Factor Authentication,Django Framework