Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)

Area of Science:

• Computer Science
• Healthcare Technology
• Cybersecurity

Background:

• Remote health monitoring (RHM) improves healthcare access but faces security challenges, risking patient data privacy and HIPAA compliance.
• Ensuring the confidentiality of sensitive medical data is paramount, especially with the increasing use of digital health records and remote services.

Purpose of the Study:

• To design and implement an adaptive Autonomous Protocol (AutoPro) for remote healthcare (RHC) data using fully homomorphic encryption (FHE).
• To perform adaptive, autonomous FHE computations on RHM data for secure health status reporting while maintaining patient confidentiality.
• To develop a decentralized protocol operating independently among hospital servers without third-party reliance.

Main Methods:

• The study utilizes an adaptive autonomous protocol (AutoPro) with fully homomorphic encryption (FHE) on patient remote healthcare (RHC) monitoring data.
• An algorithm based on the fast fully homomorphic encryption over the torus (TFHE) library with a ring-variant Gentry, Sahai, and Waters (GSW) scheme was employed.
• A concrete-ML model was trained on a heart disease dataset, with preprocessing for data imputation, and evaluated on cloud infrastructure (AWS).

Main Results:

• The FHE protocol achieved high accuracy with Support Vector Classification (SVC) at 88% and Linear Regression (LR) at 86%.
• Area Under Curve (AUC) scores reached 91% for SVC and 90% for LR, demonstrating strong predictive performance.
• The protocol was successfully implemented and demonstrated on the AWS cloud network, validating its performance in a real-world environment.

Conclusions:

• The developed FHE-based protocol offers a novel, secure system for remote health monitoring, ensuring patient data confidentiality.
• The adaptive nature of the protocol, based on patient condition severity, enhances its applicability across various RHC scenarios.
• This system provides immediate emergency services and confidential patient reports, improving healthcare efficiency and patient trust.