Information Processing Device Data Conversion for Confidentiality
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Solution Overview
Problem
When a requester company shares data with an external analysis company, there is a risk of confidential information leakage, and conventional data processing methods can distort analysis results, making it challenging to maintain confidentiality while ensuring accurate analysis.
Innovation Solution
An information processing device converts data on a preset n-dimensional map by applying a conversion rule that sets new data values based on majority voting of original data within a reference region, ensuring a predetermined change ratio is met, thereby concealing sensitive information without affecting analysis outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If data is processed to conceal confidential information, then security is improved, but analysis accuracy deteriorates
Solution Approach 1:
The patent applies parameter changes by transforming data values according to conversion rules that modify numerical parameters while preserving spatial relationships. The conversion rule changes data parameters (values at target positions) based on reference region characteristics, achieving both confidentiality protection and analysis accuracy maintenance through controlled parameter transformation
Solution Approach 2:
The patent introduces an intermediary conversion process that acts as a mediator between the original data and the external analysis company. The conversion rule serves as an intermediary mechanism that transforms data before transmission, concealing confidential information while preserving essential analysis patterns through the reference region-based transformation
2Object-affected harmful factors
If data conversion is applied to protect confidentiality, then information security is improved, but data utility deteriorates
Solution Approach 1:
The patent applies local quality by implementing position-dependent conversion rules where different spatial locations are treated differently. The reference region approach ensures that only specific local areas undergo conversion based on their characteristics, preserving data utility in regions where it is most needed while protecting confidentiality where necessary
Solution Approach 2:
The conversion rule changes data parameters selectively based on the reference region and target position relationships. By modifying parameters only where necessary and preserving spatial structure, the patent maintains data utility for clustering and defect analysis while achieving confidentiality protection
3Ease of operation
If conventional data processing is used, then ease of operation is improved, but analysis accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining conversion rules and reference regions before data analysis is performed. The conversion process is prepared in advance with predetermined rules, making the operation straightforward while ensuring analysis accuracy through the structured approach of reference region selection and conversion rule application
Data Source
AI summary
An information processing device converts a plurality of original data arranged on a preset n-dimensional map into a plurality of new data arranged on a map according to a conversion rule. In the conversion rule, when an original datum at a target position on the map has a value of out-of-criterion, a new datum at the target position is set to the value of the original datum at the target position, and when the original datum at the target position has a value of within-criterion, each of values of one or more original data excluding an original datum having a value of the out-of-criterion from original data included in a reference region is selected to perform majority voting with the values of the one or more original data selected, and the new datum at the target position is set to a value determined by the majority voting.