Enhancing Digital Security: A Comprehensive Multi-Model Authentication Framework Leveraging Cryptography and Biometrics

In today’s digital era, the protection of sensitive information is of utmost importance, necessitating the development of robust authentication systems. This paper proposes a multi-model authentication system for secure record retrieval, integrating various authentication factors to enhance security and user experience. The system architecture includes modules for user registration, encryption of credentials using AES and SHA algorithms, two-factor authentication (2FA) with unique QRcodes and one-time passwords (OTPs), and biometric authentication based on palm print recognition technology. The biometric authentication process involves preprocessing palm print images, extracting regions of interest, filtering, scoring, and matching against stored user data. The system ensures seamless integration and compatibility with existing platforms, facilitating easy adoption and deployment across diverse environments. Robust security measures, including brute-force protection, replay attack prevention, and data encryption, are implemented to safeguard sensitive information. Evaluation of the system’s performance through predefined testing scenarios and metrics demonstrates its effectiveness in enhancing security and user satisfaction. This proposed solution addresses the growing need for secure record retrieval systems by providing a comprehensive authentication mechanism that ensures the confidentiality, integrity, and reliability of user data.