Towards a robust data privacy framework for IoT based health monitoring system
Punam Prabha, Kakali Chatterjee · e-Prime - Advances in Electrical Engineering Electronics and Energy · 2025
Nowadays, the need for a robust data privacy framework in health monitoring system is driven because the health sector is a prime target for cyber-attacks due to the high value of sensitive data on the cloud server storage. This paper presents a robust data privacy framework designed for health monitoring systems, addressing the critical need for secure handling of sensitive patient information. The proposed framework integrates hybrid consensus mechanism, ring signature mechanism, and data authentication mechanism to ensure sustainable and secure blockchain infrastructure, robust framework, and accuracy and consistency of data. Moreover, Security-Performance Efficiency Metric show that the proposed robust data privacy framework is effective and efficient in compare to existing framework for improving transaction processing and blockchain administration. • Comprehensive Privacy Architecture: A robust health monitoring system data privacy architecture designed to protect sensitive patient data. • Key Technologies: Utilizes blockchain for Hybrid Consensus Mechanism (HCM), ring signatures, and data exchange. • Performance Improvements: (i) Transaction Volume: 33% increase; (ii) Validator Demand: 19% reduction; (iii) Block Sizes: 23% decrease; (iv) Validation Time: 12.4% reduction per validator. • Efficiency and Effectiveness: Demonstrated superiority over existing methods in terms of transaction processing and blockchain management. • Sustainable and Secure Infrastructure: Provides a robust framework for accurate and consistent data, enhancing vulnerability detection and mitigation.