An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine

Area of Science:

• Digital Health
• Cybersecurity
• Biometrics

Background:

• Telemedicine offers flexible and cost-effective diagnoses, especially for remote users.
• Existing telemedicine security faces challenges in user authentication, biometric schemes, unpredictable behavior, and cross-domain compatibility.
• These security issues hinder the sustainable development of telemedicine services.

Purpose of the Study:

• To propose an advanced identity management scheme for telemedicine.
• To enhance security and efficiency in telemedicine through multi-factor authentication and dynamic trust evaluation.

Main Methods:

• Implemented a multi-factor authentication system combining iris recognition, smart cards, and static passwords.
• Integrated dynamic trust evaluation based on attack rates, login anomalies, and service duration.
• Utilized ShangMi cryptographic algorithms and blockchain technology for performance optimization.

Main Results:

• Achieved 35% lower communication overhead compared to existing protocols.
• Demonstrated resistance to impersonation, man-in-the-middle, and password modification attacks.
• Preserved user anonymity and met authoritative standards for system practicality.

Conclusions:

• The proposed scheme effectively balances security and efficiency in telemedicine.
• It provides a robust foundation for the long-term viability and secure adoption of telemedicine.
• Addresses critical authentication and security challenges in the evolving digital health landscape.