Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems

Area of Science:

• Computer Science
• Information Security
• Healthcare Systems

Background:

• Medical supply chains handle critical data, increasing vulnerability to cyber-attacks.
• The COVID-19 pandemic highlighted the need for enhanced security in healthcare data sharing.
• Existing security measures are insufficient against sophisticated cyber threats.

Purpose of the Study:

• To propose a novel framework enhancing security and privacy in medical supply chain communication networks.
• To integrate Blockchain and Information Hiding Techniques (IHT) for robust data protection.
• To address the growing threat of cyber-attacks on critical healthcare infrastructure.

Main Methods:

• Implementation of a Blockchain-based system utilizing smart contracts.
• Integration of advanced Information Hiding Techniques (IHT) for data obfuscation.
• Utilizing Hyperledger smart contracts for framework development and testing.

Main Results:

• Demonstrated the feasibility of the proposed Blockchain and IHT framework.
• Achieved a significant enhancement in data security and privacy levels.
• Validated the framework's effectiveness in a simulated smart healthcare supply chain environment.

Conclusions:

• The proposed framework effectively enhances security and privacy in medical supply chains.
• Blockchain and IHT integration offers a viable solution against cyber threats.
• The system provides a secure platform for critical data communication in smart healthcare.