Research on Hybrid Image Storage Models to Ensure Data Security and Privacy

Abstract

This paper addresses the growing challenge of secure and efficient image storage using hybrid architectures that combine local and cloud resources. We propose and compare three architectural models with integrated encryption mechanisms (AES-256, RSA, and a bitwise method). A multi-criteria decision analysis identifies Microsoft Azure as the optimal cloud platform. Experimental results, based on entropy, pixel correlation, encryption time, and storage overhead, demonstrate the trade-offs between performance and security. The proposed models can serve as a basis for scalable and secure hybrid image storage systems.