Biometric-Based Unlocker Framework for Cost-Effective Two Factor Cloud Authentication

Abstract

This study presents a comparative evaluation of the proposed Frag Secure framework against state-of-the-art random fragmentation approaches and non-fragmentation strategies. By addressing data loss and security challenges, the Frag Secure framework demonstrates superior performance, achieving enhanced data protection and reliability. The framework highlights a significant improvement in managing fragmented data,ensuring a robust solution to the limitations of existing methods in secure data management systems. The research also introduces a Biometric-Based Unlocker Cloud Framework as an innovative alternative to
traditional two-factor authentication methods that rely on costly external hardware devices. By leveraging biometric technology, this framework eliminates concerns about device damage and associated repair costs, providing a seamless and cost-effective authentication mechanism. Performance tests reveal improvement over existing frameworks, offering enhanced security and usability without additional expenses for cloud users. Together, these advancements pave the way for more secure and efficient cloud-based systems.