Secure Patient Authentication Framework in the Healthcare System Using Wireless Medical Sensor Networks.

Area of Science:

• Biomedical Engineering
• Computer Science
• Cybersecurity

Background:

• Wireless Medical Sensor Networks (WMSN) and Internet-of-Medical-Things (IoMT) enable remote patient monitoring.
• Transmitting sensitive health data over insecure channels poses significant security risks.
• Existing authentication protocols often lack robustness or compromise performance.

Purpose of the Study:

• To propose a novel, lightweight, and robust authentication scheme for IoMT devices.
• To address identified security weaknesses in current healthcare network protocols.
• To ensure secure remote diagnosis and patient monitoring.

Main Methods:

• Development of a new authentication protocol tailored for IoMT.
• Formal security analysis using BAN logic and ProVerif.
• Informal security validation through pragmatic illustration.
• Performance analysis to assess security-performance balance.

Main Results:

• The proposed protocol effectively mitigates identified security vulnerabilities.
• Formal and informal analyses confirm the protocol's robustness.
• Performance evaluation demonstrates a favorable balance between security and efficiency.

Conclusions:

• The developed authentication scheme offers enhanced security for IoMT in healthcare.
• It provides a practical solution for securing sensitive data in remote patient monitoring.
• The protocol represents an advancement in securing network-enabled healthcare devices.