Adaptive Encryption Framework With Fog Offloading For Secure Healthcare Data Processing On Resource-Constrained Devices

Abstract

This paper presents a Progressive Encryption Framework with fog offloading capabilities designed specifically for securing healthcare data on resource-constrained mobile and IoT devices. Our framework employs a context-aware approach that dynamically balances security strength, energy consumption, and computational overhead by adaptively selecting encryption mechanisms and processing locations based on data sensitivity, device energy levels, and network conditions. Our proposed progressive framework significantly improves energy efficiency and processing speed compared to traditional methods, without compromising healthcare data security. The results confirm its ability to balance performance with stringent security requirements. The framework's adaptive fog offloading capability enables effective encryption even on devices with limited computational resources, making robust healthcare data protection feasible across a wide range of deployment scenarios, from rural telemedicine to urban hospital networks.