BLOCK CHAIN-INTEGRATED MULTI-FACTOR AUTHENTICATION SYSTEM FOR ENHANCED SECURITY AND DECENTRALIZED INTEGRITY IN ONLINE EXAMINATION PLATFORMS

With the increasing depended on online examination systems, so providing security, transparency, and scalability has become a significant challenge.While existing methods with AI and deep learning-based multi-factor authentication provide robustness, they may not address data integrity and traceability effectively. In this research, we propose a novel framework that integrates Blockchain technology with multi-factor authentication system to enhance security and decentralization in online examinations. By combining Blockchain’smethod with advanced facial recognition and behavioral biometrics, the system ensures good data management and user authentication. The system uses a Hybrid Deep Learning (HDL) model for biometric verification and Blockchain smart contracts for secure transaction processing and audit trails. Experimental results demonstrate that the proposed system achieves 99.1% accuracy in user authentication while providing end-to-end security against unauthorized access and data manipulation.