Carbon Footprint Data Verification With Dual-Blockchain Privacy
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Solution Overview
Problem
Existing carbon footprint data management systems face issues with accuracy, reliability, and security due to manual operations, maloperations, malicious tampering, and the inability to ensure confidentiality, integrity, and traceability at the micro level.
Innovation Solution
A method and system utilizing a first blockchain for homomorphic encryption of carbon footprint data and a second blockchain for verifiable credentials, ensuring confidentiality and integrity while protecting supplier identity privacy through zero-knowledge proofs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used to collect and transmit carbon footprint data, then ease of operation is improved, but reliability and security of data deteriorate due to maloperations, malicious tampering, and illegal manipulations
Solution Approach 1:
The system enables automated self-service operations where the carbon footprint data collection and verification process executes automatically without manual intervention. Smart contracts on the blockchain automatically verify data integrity, calculate carbon footprints, and manage the verification workflow, eliminating human error and malicious manipulation while maintaining operational efficiency
Solution Approach 2:
The patent replaces manual mechanical operations with automated digital systems. Blockchain technology substitutes human-operated data collection and verification processes with automated cryptographic verification and smart contract execution, ensuring data integrity and reliability while reducing operational complexity
2Ease of operation
If carbon footprint data is stored in traditional databases, then ease of operation is improved, but security and confidentiality deteriorate due to inability to protect supplier identity privacy at micro level
Solution Approach 1:
The patent segments data into two distinct layers: encrypted carbon footprint data stored on the blockchain for verification, and supplier identity information kept separate and protected. This segmentation allows the system to provide security and confidentiality for supplier identities while maintaining ease of operation for carbon footprint verification through the public blockchain
3Device complexity
If traditional data management systems are used, then device complexity is reduced, but measurement precision deteriorates due to inability to verify data validity at micro level
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between data collection and verification. The blockchain acts as a trusted mediator that provides immutable storage and cryptographic verification mechanisms, enabling precise verification of carbon footprint data validity at the micro level without significantly increasing overall system complexity
Data Source
AI summary
An example includes: generating component carbon footprint data of a component, wherein the data comprises data of a material for manufacturing the component and addon component carbon footprint data generated in the production and processing of the component; storing an encryption result of the addon data in a first blockchain to trigger generation and storage of encrypted component carbon footprint data based on the encryption result of the addon component carbon footprint data and pre-stored first encrypted material carbon footprint data; acquiring a first verifiable credential for average footprint data of a batch of components containing the component, wherein a public key for verifying the credential is stored in a second blockchain; and sending the component data and the presentation generated to the manufacturer, so the manufacturer verifies the presentation and the footprint data based on the first encrypted component data and the public key.