Cybersecurity Architecture for Medical Live Monitoring Systems Using HTTP Protocols and SHA-256 Encryption

Abstract

Live health monitoring systems are revolutionizing patient care, yet the security and integrity of sensitive medical data remain a critical challenge. To address the vulnerabilities of centralized databases and basic authentication in traditional systems, we propose a secure framework that leverages a decentralized architecture. This proposed system uses standard HTTPS protocols for communication, with each client request authenticated using JSON Web Tokens (JWT) signed with HMAC-SHA256. Patient records are encrypted using AES-256-GCM before storage, with cryptographic hashes of these records written to a private Hyperledger Fabric blockchain for tamper-proof auditability. A smart contract enforces decentralized, role-based access control to ensure only authorized personnel can view sensitive information. A predictive analytics module processes secured vital data to forecast potential health deterioration, triggering automated alerts to the responsible physician. In a simulation handling 1,000 patient records over 30 days, the system demonstrated 99.98% data integrity, processed an average of 4,820 authenticated requests per minute with a mean latency of 185ms, and achieved 87.3% accuracy in predicting critical health events with a 30-minute lead time, confirming its efficacy as a robust and secure solution for remote patient monitoring.