A Novel Secure and Decentralized Model for Authentication and Data Integrity in IoT-Based Cyber-Physical Healthcare System

Abstract

The integration of Internet of Things (IoT) technologies in healthcare has revolutionized patient monitoring and clinical decision-making through real-time data acquisition. However, the proliferation of connected medical devices introduces significant vulnerabilities regarding the security and integrity of sensitive health information. This paper presents a novel hybrid framework for Cyber-Physical Healthcare Systems (CPHS) that addresses these critical challenges through an innovative combination of IoT and blockchain technologies. Our solution implements advanced cryptographic protocols to establish robust data authentication mechanisms while preserving patient privacy. The proposed decentralized architecture fundamentally transforms healthcare data management by eliminating single points of failure inherent in traditional centralized systems. Key advantages include enhanced system resilience, complete transaction transparency, and immutable record-keeping that prevents data tampering. Comprehensive simulation results demonstrate the framework's effectiveness in protecting sensitive patient information while simultaneously improving operational efficiency in IoT-enabled healthcare environments. The research contributes both theoretically and practically by providing a secure, scalable solution that maintains data integrity without compromising system performance - a crucial advancement for modern digital healthcare infrastructure.