Distributed Medical Data Storage Mechanism Based on Proof of Retrievability and Vector Commitment for Metaverse...

Area of Science:

• Computer Science
• Health Informatics
• Cybersecurity

Background:

• The metaverse offers immersive healthcare experiences but faces challenges with massive data storage and blockchain limitations like low throughput and high latency.
• Current centralized storage systems in the metaverse are vulnerable to single points of failure and access issues.
• Efficient and secure data management is critical for the scalability and reliability of metaverse health applications.

Purpose of the Study:

• To propose a novel distributed storage system architecture for the metaverse health system.
• To enhance the security, efficiency, and scalability of data storage and transmission in the metaverse.
• To address the limitations of existing blockchain technologies in supporting large-scale metaverse applications.

Main Methods:

• Developed a network architecture for distributed storage systems using proof of retrievability to ensure secure data storage.
• Designed two data transmission protocols employing vector commitment and encoding functions to optimize data verification and transfer.
• Conducted comprehensive security and performance analyses of the proposed scheme.

Main Results:

• The proposed proof of retrievability architecture effectively addresses centralized decision-making and single points of access.
• The novel data transmission protocols improve verification efficiency and transfer time costs, enhancing system scalability.
• Security and performance analyses confirm the proposed scheme is both secure and efficient for metaverse health applications.

Conclusions:

• The developed distributed storage system provides a secure and efficient solution for the metaverse health system.
• The proposed architecture and protocols overcome existing blockchain limitations, enabling robust metaverse healthcare.
• This work contributes to the advancement of secure and scalable data management in immersive virtual environments for healthcare.