Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric

Area of Science:

• Computer Science
• Information Security
• Distributed Systems

Background:

• Data sharing faces challenges like integrity verification, encryption key leakage, and cross-group access difficulties.
• Existing data transmission methods suffer from low security and reliability, leading to key cracking and data breaches.

Purpose of the Study:

• To propose a novel multi-group data sharing network model for secure peer-to-peer (P2P) sharing.
• To address the identified challenges in data integrity, encryption security, and inter-group data accessibility.

Main Methods:

• A Consortium Blockchain and InterPlanetary File System (IPFS) based multi-group network model is proposed.
• Dynamic key encryption algorithm, data probes for integrity verification, and Hyperledger Fabric for logging are utilized.
• Data owners maintain complete control over data access, ensuring privacy and security.

Main Results:

• The proposed model effectively addresses data integrity verification and encryption key leakage issues.
• The system demonstrates secure and reliable P2P data sharing across different user groups.
• Experimental results confirm the wide applicability and robustness of the proposed data sharing network.

Conclusions:

• The developed model offers a secure and efficient solution for multi-group data sharing.
• It enhances data security, integrity, and user privacy in distributed environments.
• The system provides a scalable and reliable framework for modern data sharing needs.