Identifier-Based Data Processing for Secure Analysis Isolation
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Solution Overview
Problem
Existing data processing systems face challenges in ensuring data security and reducing data communication between stages, particularly when using machine learning models, which can lead to increased data leakage risks.
Innovation Solution
Storing target data in a target area with corresponding identification and performing data analysis based on this identification, rather than exposing the data directly to subsequent stages, thereby reducing data communication and maintaining data isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is directly communicated between processing stages, then data analysis accuracy is maintained, but data security deteriorates and data leakage risks increase
Solution Approach 1:
The patent introduces an intermediary mechanism where data is stored in a target area with identification rather than being directly passed between processing stages. This intermediary storage layer enables secure data access while maintaining analysis accuracy, resolving the contradiction between data security and information loss.
2Reliability
If data is directly passed to subsequent stages, then processing efficiency is maintained, but data isolation is compromised and data leakage risks increase
Solution Approach 1:
The patent segments the data processing flow by introducing a target area as a distinct storage layer between data sources and processing stages. Data is stored with identification in this segmented structure, enabling both data isolation for security and efficient retrieval for processing, thus resolving the contradiction between data isolation and processing efficiency.
3Object-affected harmful factors
If data communication between stages is reduced, then data leakage risks are minimized, but data analysis capability may be affected
Solution Approach 1:
The patent implements a copying mechanism where data is stored in the target area with identification, creating a secure copy that can be accessed by processing stages without direct data communication. This copying approach minimizes data leakage risks while preserving data analysis capability, as the identification enables retrieval of necessary data without exposing the actual data during transmission.
Data Source
AI summary
Provided in the disclosure a method, apparatus, device, storage medium and program product for data processing. A method includes: storing target data into a target area in response to determining the target data, data stored in the target area having a corresponding identification, and the target data determined based on a received user input; performing data analysis on the target data based on a target identification corresponding to the target data; and presenting a reply to the user input based on a result of the data analysis. In this way, after the data is queried, the data is not directly exposed to the subsequent data analysis stage, but instead provided to the subsequent data analysis stage in the form of identification. On one hand, the amount of data communication between different stages can be reduced, on the other hand, the data remains isolated between different stages, enhancing security.