Encrypted Data Market Architecture for Privacy-Accurate Analytics
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Solution Overview
Problem
Existing data systems face challenges in protecting user privacy while providing flexible data usage and maintaining data integrity, as blockchain anonymity can be compromised and differential privacy de-identified data lacks accuracy.
Innovation Solution
A data market system utilizing anonymization application programming interfaces, blockchain, differential privacy, and homomorphic encryption to encrypt and process data packets, ensuring privacy protection and flexible data usage through encrypted data packets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain is used to anonymize owner identity, then privacy protection is improved, but anonymity can be compromised by linking attacks
Solution Approach 1:
The patent introduces homomorphic encryption as an intermediary layer between the data owner and the data market system. This intermediary enables the owner to encrypt data with a public key before uploading, and the system can process the encrypted data without decrypting it, thus maintaining anonymity while preventing linking attacks that would compromise privacy.
Solution Approach 2:
The patent applies differential privacy as a preliminary action before data is uploaded to the blockchain. By adding controlled noise to the data in advance, the system protects owner identity from being revealed through linking attacks, while still allowing useful statistical analysis to be performed on the anonymized data.
2Reliability
If differential privacy is used to de-identify data, then privacy protection is improved, but data accuracy is reduced
Solution Approach 1:
The patent implements a dynamic system where data can exist in multiple states: encrypted but unprocessed (maintaining full accuracy with homomorphic encryption), partially processed with differential privacy (reduced accuracy but enhanced privacy), or fully restored after authorized decryption. This dynamic approach allows the system to adjust the privacy-accuracy tradeoff based on specific use cases and authorization levels.
3Reliability
If data is encrypted using homomorphic encryption, then privacy protection is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing workflow into distinct stages: encryption stage (owner uploads encrypted data), processing stage (system performs operations on encrypted data using homomorphic encryption), and decryption stage (authorized restoration of data). Each stage uses appropriate technical means, reducing overall system complexity by avoiding the need to handle both encrypted and plaintext data simultaneously throughout the entire workflow.
Data Source
AI summary
A data market system located at the Internet includes a storage circuit, an input surface circuit, and a processor. The input surface circuit is used for receiving a query and an encrypted data packet. The processor is used for controlling the input surface circuit to receive the encrypted data packet and to store the encrypted data packet in the storage circuit. The processor processes the encrypted data packet according to the query. The encrypted data packet corresponds to at least one of anonymization application programming interface, blockchain, differential privacy, and homomorphic encryption provided by the data market system.