Design of a Secure Medical Data Sharing Scheme Based on Blockchain

Area of Science:

• Computer Science
• Medical Informatics
• Cybersecurity

Background:

• Medical Cyber Physical Systems (MCPS) face significant data security and sharing challenges due to complex medical data and evolving technologies like AI and big data.
• Cloud storage addresses medical data storage but struggles with secure data sharing and authentication.
• Blockchain technology offers decentralization, which can overcome reliance on trusted third parties for secure authentication and data transmission.

Purpose of the Study:

• To propose a blockchain-based network model for MCPS to address data security and sharing issues.
• To enhance the security authentication process for medical data providers and users within MCPS.
• To ensure data integrity, untrackability, and enable secure two-way authentication in medical big data sharing.

Main Methods:

• A network model for MCPS utilizing blockchain technology was developed.
• Bilinear mapping and intractable problems were employed to secure the authentication phase.
• BAN logic was used for security protocol analysis, complemented by formal analysis and comparison.

Main Results:

• The proposed blockchain-based MCPS model successfully enables secure medical data sharing.
• The system meets stringent security requirements during the authentication phase, ensuring data integrity and untrackability.
• The solution demonstrates ideal storage and computing overhead costs, making it suitable for medical big data.

Conclusions:

• The blockchain-based MCPS model provides a robust solution for secure medical big data sharing.
• The system effectively addresses security threats in authentication and ensures data integrity.
• The proposed approach is efficient and suitable for the demands of modern healthcare data management.