End-to-End Zero-Trust Database Migration Frameworks

Abstract

The increasing adoption of hybrid and multi-cloud database environments introduce profound security challenges, particularly during database migration. Traditional perimeter-based security models are insufficient in mitigating threats in dynamic and distributed environments. This research investigates the development of end-to-end zero-trust security frameworks specifically tailored for database migration processes. By discarding inherent trust in any user, process, or network component, the zero-trust paradigm ensures a robust security posture through continuous authentication, strict access controls, and micro-segmentation. The paper presents a detailed literature review on recent advances in edge computing databases, performance optimization techniques, and real-time analytics, followed by a proposed methodology for evaluating zero-trust implementation in database migration. Experimental simulations and theoretical frameworks are employed to assess system performance, security, and resilience. The findings reveal significant security and operational benefits, though challenges persist in scalability and policy enforcement. Future research directions are proposed to address these challenges and refine zero-trust designs for next-generation edge and cloud-native databases.