Zero-Knowledge Proof Aggregation for Energy Data Privacy
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Solution Overview
Problem
In the energy transition context, energy service companies face a challenge in sharing device utilization data with Transmission System Operators (TSOs) while maintaining data privacy, as TSOs demand full transparency, leading to reluctance from energy service companies to disclose their business models.
Innovation Solution
A method and system utilizing zero-knowledge-proofs (ZKPs) on a blockchain for secure and anonymous bundling of resources, ensuring that agreement specifications are met without revealing the identity or characteristics of resource producers, and providing proofs of consistent and non-doubly utilized commitments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If energy service companies share device utilization data with TSOs to meet transparency demands, then TSOs can verify compliance and market operations, but data privacy and commercial confidentiality of energy service companies are compromised
Solution Approach 1:
The patent extracts only the necessary verification information from the complete device utilization data by using zero-knowledge proofs. The ZKP allows TSOs to verify compliance with aggregation rules without extracting or accessing the underlying private device utilization data, thus resolving the contradiction between verification needs and data privacy protection.
Solution Approach 2:
The zero-knowledge proof acts as an intermediary mechanism between energy service companies and TSOs. It enables the flow of verification information without direct data exposure, allowing TSOs to confirm compliance while energy service companies maintain data privacy. The ZKP serves as a mediator that translates compliance requirements into verifiable proofs without revealing sensitive information.
2Loss of information
If energy service companies maintain data privacy to protect business models, then commercial confidentiality is preserved, but TSOs cannot verify agreement specifications and compliance
Solution Approach 1:
The patent extracts only the verification capability from the data itself by using zero-knowledge proofs. Instead of sharing data to enable verification, the system extracts the verification function into a separate mathematical proof that can be checked without accessing the underlying data, thus maintaining privacy while enabling compliance verification.
Solution Approach 2:
The patent replaces the mechanical data-sharing approach with a mathematical proof system. Instead of relying on data exposure for verification, the system uses cryptographic zero-knowledge proofs that provide verification through mathematical logic rather than data inspection, allowing TSOs to verify compliance without any data access.
3Reliability
If full transparency is implemented to meet TSO requirements, then market oversight and compliance can be ensured, but energy service companies lose control over their commercial private data
Solution Approach 1:
The patent extracts the oversight verification function from direct data access. Zero-knowledge proofs allow TSOs to perform market oversight and compliance checking without extracting or accessing the underlying device utilization data, thus maintaining data control with energy service companies while enabling effective market oversight.
Solution Approach 2:
The zero-knowledge proof serves as an intermediary that enables market oversight without direct data exposure. It allows TSOs to verify compliance and oversee market operations through cryptographic proofs rather than direct data access, preserving energy service companies' control over their commercial private data while maintaining effective oversight capability.
Data Source
AI summary
A processor may commit, anonymously, an identity and associated data of a resource producer on a blockchain by an independent gateway. The processor may generate a Merkle tree hash commitment to the blockchain of all resources handled by an aggregator. The processor may execute individual commitments of a resource to a user. The processor may provide a zero-knowledge-proof that proves that the commitment of the identity and associated data of the resource producer and the Merkle tree hash commitment match.