Sensitive Data Identification Models Without Manual Setup
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Solution Overview
Problem
Existing methods for generating sensitive data identification models are user-dependent and lack efficiency, especially in complex scenarios, requiring manual understanding of data grading/classification principles and are limited by user expertise, leading to incomplete and inaccurate sensitive data identification.
Innovation Solution
An automated method for generating sensitive data identification models that includes obtaining target sensitive words, determining their synonyms and sensitivity levels based on industry-specific libraries, reducing user intervention and enhancing model accuracy by using word vectors and industry-specific classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration of sensitive data identification models is used, then user flexibility is maintained, but efficiency deteriorates and accuracy decreases in complex scenarios
Solution Approach 1:
The system performs self-service by automatically generating sensitive data identification models without requiring manual user configuration. The automated model generation system independently completes the entire modeling process, eliminating the need for users to manually define model parameters and structures.
Solution Approach 2:
The patent replaces the mechanical manual configuration process with an automated computational system. Instead of users manually setting up models through interface operations, the system uses algorithmic processes to automatically generate models based on input data and industry specifications.
2Measurement precision
If manual configuration of sensitive data identification models is used, then user control is maintained, but measurement precision deteriorates
Solution Approach 1:
The system automatically performs precise identification without requiring user expertise. The automated model generation process independently ensures measurement precision by using computational algorithms that process data according to industry standards without human intervention.
Solution Approach 2:
The patent changes the approach from manual parameter setting to automated parameter determination. The system automatically adjusts model parameters based on input data characteristics and industry specifications, achieving higher precision without requiring users to understand or configure these parameters manually.
3Productivity
If manual consideration of sensitive words is used, then user adaptability is maintained, but productivity deteriorates
Solution Approach 1:
The patent replaces manual consideration of sensitive words with automated computational processing. The system uses algorithmic methods to automatically identify and process sensitive data patterns, dramatically increasing throughput while managing complexity through structured computational approaches rather than manual rule-setting.
Data Source
AI summary
A method and an apparatus for generating a sensitive data identification model are disclosed. The method includes: obtaining a target sensitive word; and determining a sensitive data identification model corresponding to the target sensitive word, where the sensitive data identification model includes a sensitive word set of the target sensitive word and a sensitivity level and/or a sensitive category corresponding to the sensitive word set, the sensitive word set includes the target sensitive word and a synonym of the target sensitive word, and the sensitive word set is determined based on an industry to which the target sensitive word belongs.