A Privacy-Preserving Authentication Scheme for Real-Time Medical Monitoring Systems.

Area of Science:

• Computer Science
• Cybersecurity
• Biomedical Engineering

Background:

• Real-time medical monitoring systems require secure, always-on connectivity for critical patient data transmission.
• Internet of Medical Things (IoMT) networks offer flexibility and scalability but face significant security vulnerabilities.
• Ensuring data integrity and patient privacy is paramount in remote healthcare applications.

Purpose of the Study:

• To design and propose a secure and privacy-preserving authentication scheme for edge-enabled IoMT systems.
• To enhance the robustness of real-time medical monitoring networks against various cyberattacks.
• To ensure only authorized entities can access sensitive medical data and system services.

Main Methods:

• Implementation of an edge-enabled Internet of Medical Things (IoMT) scheme.
• Development of a novel authentication scheme integrating digital signatures and an Authenticated Key Exchange (AKE) protocol.
• Assignment of unique pseudo-identities to each entity to preserve privacy.

Main Results:

• The proposed scheme provides secure authentication, ensuring only authorized access to medical services.
• The system is robust against common cyber threats, including impersonation and replay attacks.
• Privacy is maintained through the use of pseudo-identities for network entities.

Conclusions:

• The developed IoMT scheme effectively addresses security and privacy concerns in real-time medical monitoring.
• The proposed authentication protocol guarantees the integrity and confidentiality of medical data.
• The solution offers a scalable and flexible approach to secure remote healthcare connectivity.