Data Processing Apparatus Importance-Based Segmentation
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Solution Overview
Problem
Existing data encryption techniques require human intervention to determine the importance of data, leading to increased operational costs due to the need for high-level security across all data, which is inefficient and costly, especially with large data volumes.
Innovation Solution
A processing apparatus that automatically divides data into partial data sets based on importance, where the more critical data is held separately with a higher security level, reducing the need for user intervention and operational costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-level security measures such as encryption and site distribution are applied to all data, then data confidentiality is improved, but operation cost increases significantly
Solution Approach 1:
The patent segments data into multiple pieces (first partial data and second partial data) based on importance levels. Only data marked as important are segmented and stored separately with high security measures, while non-important data are stored together without additional security overhead. This resolves the contradiction by applying security measures selectively rather than universally.
Solution Approach 2:
The patent applies different security qualities to different portions of data based on their importance. Important data receive high-level security (encryption, separate storage) while non-important data use standard storage. This local differentiation of security quality eliminates the need for uniform high-security application across all data, reducing overall operation cost while maintaining confidentiality where needed.
2Reliability
If encryption processing is applied to determine data importance, then data protection is improved, but human cost increases due to user input requirements
Solution Approach 1:
The patent implements self-service by enabling the data processing apparatus to automatically determine data importance and apply appropriate security measures without requiring user input. The system autonomously marks important data and segments it accordingly, eliminating the manual intervention needed in conventional approaches while maintaining effective data protection.
Solution Approach 2:
The patent performs preliminary classification of data importance automatically during the data processing stage, before storage or transmission occurs. By pre-marking important data with importance indicators, the system eliminates the need for subsequent user input or manual classification, reducing human cost while ensuring proper protection is applied.
Data Source
AI summary
A processing apparatus (10) includes a dividing means (110). The dividing means (110) divides data into a plurality of pieces of partial data by degree of importance, based on a content of the data. Then, first partial data and second partial data having a degree of importance higher than that of the first partial data are held separately from each other. The data are, for example, sensor data or camera data constituted of a plurality of values. For example, the second partial data are encrypted.