Supply Chain Traceability Integration Using Encrypted Secure Computation
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Solution Overview
Problem
Existing systems are unable to collect traceability information across the entire supply chain while ensuring confidentiality, particularly for sensitive data such as carbon footprint values and other traceability-related information.
Innovation Solution
An information processing apparatus and method that utilizes secure computation with fully homomorphic encryption to integrate encrypted traceability-related information, allowing a certificate authority to decode and re-encrypt the data for authorized access, ensuring confidentiality across the supply chain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traceability information is collected across the entire supply chain, then comprehensive traceability data is obtained, but confidentiality of sensitive data is compromised
Solution Approach 1:
The supply chain is segmented into multiple companies, each maintaining independent control over their own traceability information. Each company encrypts their data locally and only contributes to the integrated result through secure computation, preventing any single entity from accessing complete supply chain data while still enabling comprehensive traceability analysis.
Solution Approach 2:
A certificate authority acts as an intermediary to manage cryptographic keys and enable secure computation. The certificate authority issues public keys to each company and facilitates the secure integration of encrypted traceability information without exposing the underlying sensitive data, thus maintaining confidentiality while enabling comprehensive information collection.
2Object-affected harmful factors
If encrypted traceability information is integrated through secure computation, then confidentiality is maintained, but computational complexity increases
Solution Approach 1:
The cryptographic operations and secure computation logic are extracted from the business logic and implemented as separate cryptographic modules. This separation allows the complex cryptographic operations to be handled by specialized components while the main system focuses on traceability management, reducing overall system complexity.
Solution Approach 2:
The secure computation framework is designed to be universal and can handle multiple types of traceability information (carbon footprint, recycling rates, material composition) using the same cryptographic protocols. This multi-functionality reduces the need for separate complex systems for different traceability metrics.
3Reliability
If public key encryption is used for traceability data, then data security is improved, but processing speed decreases
Solution Approach 1:
Public key encryption is performed in advance when traceability information is generated at each company. The encrypted data is then transmitted and integrated without requiring real-time decryption, allowing security to be established beforehand while maintaining processing speed during the integration phase through efficient secure computation protocols.
Data Source
AI summary
A control unit of an information processing apparatus acquires product information of each of one or more inclusion products included in a target product based on association information indicating an association relationship of products of companies included in a supply chain. The product information includes traceability-related information of the at one or more inclusion products. The traceability-related information is encrypted with a public key of a certificate authority. The control unit acquires an encrypted integrated result of the traceability-related information by computing the encrypted traceability-related information through secure computation. The control unit decodes the encrypted integrated result of the traceability-related information through the certificate authority.