Verifiable Privacy Computation via Distributed Ledger Signatures
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Solution Overview
Problem
The challenge of maintaining data privacy is exacerbated when sharing private data between organizations, as existing solutions rely on trusted third parties, which can expose data to risks and increase costs, time, and computation resources, while lacking transparency and verifiability in the computation process.
Innovation Solution
A method and system using verifiable computation modules processed on a private data owner's platform, where computation modules are recorded on a distributed ledger, enabling traceability and verifiability through unique identifiers, key pairs, and execution result signatures, allowing stakeholders to verify computations without relying on third parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trusted third parties are used to process private data, then data processing can be performed, but data security and privacy are compromised
Solution Approach 1:
The patent extracts the trust verification mechanism from the third-party processing model and implements it locally on the data owner's platform. By generating verification signatures locally and recording them on the distributed ledger, the system eliminates the need for trusted third parties while maintaining data security and processing capability.
Solution Approach 2:
The distributed ledger serves as an intermediary that records computation module identifiers and verification signatures without exposing private data. This mediator enables trustless verification of computation results while maintaining data privacy, replacing the traditional trusted third-party model.
2Ease of operation
If trusted third parties are used for data processing, then verification is simplified, but costs and time consumption increase
Solution Approach 1:
The system performs preliminary actions by generating verification signatures during the computation process itself, rather than requiring separate verification steps with third parties. The signature is created upfront using the private key and embedded in the computation result, enabling immediate verification without additional time consumption.
3Adaptability or versatility
If private data is shared between organizations, then collaborative processing is enabled, but data privacy risks increase
Solution Approach 1:
The patent segments the data processing system into independent computation modules that can be executed on the data owner's platform. Each module is identified and verified through the distributed ledger, enabling collaborative processing while maintaining data privacy through local execution and cryptographic verification.
Data Source
AI summary
Disclosed herein are methods and systems for executing verifiable computation modules to process private data at private data owner platform, comprising obtaining a computation module having a unique identifier recorded in a distributed ledger controlled by a plurality of computing nodes, generating a key pair comprising a signing key and a verification key derived from the signing key, recording, in the distributed ledger, an execution record associating an execution instance of the computation module with the verification key, initiating the execution instance of the computation module to process a private dataset incorporated with the signing key. outputting a computation outcome, computing an execution result signature for the execution instance based on the unique identifier and the private data and the signing key, and recording the execution result signature in the distributed ledger to enable verification of the execution instance.