Novel model to authenticate role-based medical users for blockchain-based IoMT devices

Area of Science:

• Computer Science
• Information Security
• Healthcare Technology

Background:

• The Internet of Things (IoT) is crucial for e-healthcare, enabling remote patient monitoring via medical sensors.
• Dynamic healthcare environments with frequent device changes and multiple user access needs create significant security and privacy challenges.
• Existing systems struggle with granular access control and efficient authentication for diverse medical entities.

Purpose of the Study:

• To propose a novel blockchain-based framework for secure and efficient access control in e-healthcare systems.
• To address the challenges of multi-entity authentication and role-based data access for medical users.
• To reduce the administrative burden associated with managing access rights in dynamic healthcare settings.

Main Methods:

• Development of a blockchain-based framework utilizing smart contracts (Solidity) for role-based access control.
• Implementation of multi-entity authentication mechanisms within a trust domain.
• Validation through simulation on the Infura blockchain using Python for performance analysis.

Main Results:

• Successful implementation and validation of role-based authorization and multi-entity authentication.
• Demonstrated ability for medical data owners to control access rights dynamically.
• Achieved minimal latency compared to existing blockchain systems lacking these features.

Conclusions:

• The proposed blockchain framework effectively enhances security and privacy in e-healthcare IoT applications.
• Role-based access and multi-entity authentication significantly improve administrative efficiency and user experience.
• The system offers a scalable and secure solution for managing sensitive medical data access.