Enhancing User Privacy And Security Through Image Based Authentication Technique

Abstract

In this research article, we have proposed a Graphical Password Authentication system that revolutionizes online security by employing image-based passwords alongside traditional alphanumeric ones, enhancing both usability and robustness. Resilient against common attack methods like brute force and spyware, it utilizes a MongoDB database and advanced encryption for data security. Our work is inspired by existing research, which highlighted the challenges of text passwords and the benefits of graphical authentication. Through a dual-layered authentication approach, combining image-based and alphanumeric passwords, security is significantly strengthened, particularly in sensitive applications like online banking and e-commerce. Leveraging the MERN stack ensures a robust infrastructure with secure data storage and dynamic user interfaces. Our proposed algorithm introduces a novel mechanism for securing user details through image verification, utilizing Unsplash API, JWTs, and Nodemailer for email notifications. This system not only mitigates the limitations of text-based passwords but also meets contemporary cybersecurity requirements, setting a new standard for user-friendly yet robust online authentication systems.