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A Business-to-Business Collaboration System That Promotes Data Utilization While Encrypting Information on the
Hiroaki Nasu1, Yuta Kodera2, Yasuyuki Nogami2
1Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan.
This study introduces a novel system for secure industrial data collaboration using homomorphic encryption and blockchain. It enables companies to share sensitive information for improved quality control and supply chain insights without revealing proprietary data.
Area of Science:
- Industrial Engineering
- Computer Science
- Cryptography
Background:
- Industry 4.0 relies on reliable data gathering from connected devices.
- Current blockchain applications struggle with sensitive data sharing in industrial supply chains due to privacy concerns.
- Lack of materialized benefits hinders data collaboration among industrial partners.
Purpose of the Study:
- To propose a business-to-business collaboration system for secure data exchange in industrial supply chains.
- To address the challenges of data confidentiality and utilization in Industry 4.0.
- To enable companies to leverage shared data for business advantage without compromising sensitive information.
Main Methods:
- Integration of homomorphic encryption to allow computation on encrypted data.
- Utilization of blockchain technology for secure and verifiable data logging.
- Development of a business-to-business collaboration framework.
Main Results:
- Companies can exchange encrypted confidential information securely.
- The system allows data utilization for individual business needs without full data disclosure.
- A trial demonstrated early detection of equipment performance issues impacting quality via blockchain-recorded cryptographic values.
Conclusions:
- The proposed system enhances data collaboration security and utility in industrial settings.
- Homomorphic encryption and blockchain effectively overcome barriers to sensitive data sharing.
- This approach facilitates proactive quality management and supply chain optimization.
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