Data Management Level Determination for Information Protection
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Solution Overview
Problem
In data management systems, it is challenging to determine appropriate information protection levels for collected data, especially when the types of data are unknown or have undergone manipulation, leading to unclear management requirements.
Innovation Solution
A method where a computer program determines management levels for data based on item names and value settings, storing data with associated management information to ensure appropriate protection measures are applied, such as personal information, anonymous manipulated information, statistical information, or open data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data classification methods are used, then accuracy in determining management levels can be maintained, but processing time and labor costs increase significantly
Solution Approach 1:
The system performs automatic self-classification of data by analyzing item names and value settings without requiring manual intervention. The computer program autonomously determines management levels by evaluating data characteristics, eliminating the need for manual classification while maintaining accuracy.
Solution Approach 2:
The patent replaces manual mechanical classification processes with automated computer-based analysis. The system uses algorithmic evaluation of item names and value settings to automatically assign management levels, substituting human manual operations with automated computational processes.
2Reliability
If strict information protection measures are applied to all data, then data security is improved, but data usability and accessibility deteriorate
Solution Approach 1:
The system applies different protection strengths to different data based on their classified management levels. Rather than uniform protection, the system tailors protection measures to local data characteristics - applying strict protection to personal information while allowing broader access to anonymized and statistical data, thus optimizing both security and usability.
Solution Approach 2:
The patent changes the protection parameter dynamically based on data classification results. The system adjusts protection strength as a variable parameter according to the determined management level, enabling flexible protection policies that adapt to different data types rather than applying fixed protection levels uniformly.
3Adaptability or versatility
If data is collected without knowing its type, then data collection capability is improved, but determination of appropriate management levels becomes difficult
Solution Approach 1:
The system performs preliminary analysis of data characteristics immediately upon collection by examining item names and value settings. This preliminary classification action is taken automatically as part of the data collection process, enabling the system to handle diverse data types without requiring prior knowledge of their specific characteristics.
Solution Approach 2:
The patent creates a universal data collection system that can handle multiple data types through a single unified approach. The computer program applies general evaluation criteria that work across different data types, automatically determining management levels for various data kinds without requiring type-specific handling procedures.
Data Source
AI summary
A non-transitory computer-readable recording medium stores therein a program for causing a computer to execute a process that includes: obtaining data in which a value is set to at least a part of one or a plurality of items from a device coupled to the computer via a network; determining a management level to be applied to the data among a plurality of management levels of different information protection measure strengths based on an item name of each of the one or the plurality of items of the data and presence or absence of a setting of a value to each of the one or the plurality of items; and storing the data in a memory in association with management information indicating the management level applied to the data.