End-to-End Zero-Trust Database Migration Frameworks

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.

Authors

Institutions

Publication Details

Journal
International Journal of Global Innovations and Solutions (IJGIS)
Published
2025-06-22
DOI
https://doi.org/10.63412/00tzhm26
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

End-to-End Zero-Trust Database Migration Frameworks

Arvind Reddy Toorpu
3 links
International Journal of Global Innovations and Solutions (IJGIS)
Cloud Data Security Solutions
article

End-to-End Zero-Trust Database Migration Frameworks

Arvind Reddy Toorpu
article en

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.

International Journal of Global Innovations and Solutions (IJGIS)Vol. 2(4)
Sullivan University (US)
Reduced inequalities
Openalex Percentile: Top 79%
Cloud Data Security Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

End-to-End Zero-Trust Database Migration Frameworks — Arvind Reddy Toorpu · International Journal of Global Innovations and Solutions (IJGIS) (2025) | TGRS Research Map | TGRS