Confidential Data Segregation in Material Analysis Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing systems fail to appropriately manage data with high confidentiality in material analyzing services provided via a network, as they do not differentiate between data of varying confidentiality levels and often require transmission of sensitive production process data.
Innovation Solution
The system segregates data by confidentiality level, with high-confidence data related to material production processes stored locally on the user terminal and measurement data, which has lower confidentiality, transmitted to and analyzed on an external server, ensuring secure management and reducing information leakage risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measurement data is transmitted to an external server for analysis, then analysis capability is improved, but data security deteriorates
Solution Approach 1:
The patent segments data into two categories: measurement data (lower confidentiality) and data related to production processes (higher confidentiality). This segmentation allows the system to transmit only measurement data to external servers for analysis while retaining sensitive production data locally, thereby improving analysis capability without compromising data security.
2Measurement precision
If all data is transmitted to external server, then analysis accuracy is improved, but information leakage risk increases
Solution Approach 1:
The patent extracts only the necessary measurement data from the complete dataset and transmits it to external servers for analysis. By taking out only the required portion (measurement data) and leaving sensitive production process data behind, the system achieves accurate analysis while minimizing information leakage risks.
3Quantity of substance
If sensitive production data is transmitted, then completeness of analysis data is improved, but confidentiality management deteriorates
Solution Approach 1:
The patent applies local quality by treating different types of data differently based on their confidentiality requirements. Measurement data is transmitted to external servers for analysis, while production process data remains stored and managed locally. This differentiated approach ensures confidentiality management is maintained for sensitive data while still providing sufficient data for analysis.
Data Source
AI summary
The present disclosure provides an information processing system and an information processing method that, in a material analyzing service that is provided via a network, can appropriately manage data of a high degree of confidentiality. The system and method involve a user terminal that provides a data ID to a combination of first data that relates to a material, and second data that is data obtained by measuring the material and is data whose degree of confidentiality is lower than the first data. The user terminal stores the first data and data ID and transmits the second data and data ID to an information processing device. The information processing device carries out material analysis corresponding to the second data and transmits analysis results data to the user terminal. Accordingly, data having a high degree of confidentiality can be managed appropriately in a material analyzing service over a network.