Distributed Share Processing for Consent-Free Secure Analysis
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Solution Overview
Problem
Secure computing systems require consent for personal information provision to a third party when performing cross-sectional analysis due to the use of secret sharing that exposes data in coded form.
Innovation Solution
A processing system that segments original data into shares and distributes them across multiple servers, performing statistical processing to convert data into statistical information, enabling secure computation without restoring the original data, thus eliminating the need for consent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If secret sharing is used to keep data confidential in secure computing, then data security is improved, but consent for personal information provision to third parties becomes necessary
Solution Approach 1:
The patent applies segmentation by dividing original data into multiple shares and distributing them across different servers. Each server holds only a portion of the data, and no single server can reconstruct the complete original data. This segmentation enables secure computing while preventing third-party access to identifiable personal information, thus eliminating the need for consent.
Solution Approach 2:
The patent introduces statistical information as an intermediary between the original data and the computation results. The servers perform computations on the segmented shares and convert them into statistical information that does not expose personal identifiers. This intermediary layer allows data processing while maintaining privacy and eliminating consent requirements.
2Reliability
If data is segmented and distributed across multiple servers, then data security and privacy are improved, but system complexity increases
Solution Approach 1:
The patent implements multi-functionality by enabling the distributed server system to perform various computation types on segmented data shares. The same infrastructure of segmented data distribution and statistical conversion can handle different computation requests, making the system universally applicable to various secure computing scenarios while managing complexity through standardized processes.
Data Source
AI summary
A processing system distributes original data in a state of being segmented shares to a plurality of servers, and stores the original data in the servers, each of the servers including processing circuitry configured to perform statistical processing on the shares that are used in computation that is requested by a requesting device, and perform the computation that is requested by the requesting device using statistical information into which conversion is made in the statistical processing.