Methods for establishing sensitive feature databases and identifying sensitive data

CN116166646BActive Publication Date: 2026-06-30QI AN XIN TECHNOLOGY GROUP INC +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
QI AN XIN TECHNOLOGY GROUP INC
Filing Date
2022-12-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

而这种总结方式又会存在总结效率低下，总结出的敏感特征与已有的敏感特征存在重复的问题

Benefits of technology

[0013]Compared to existing technologies, the method for establishing a sensitive feature library provided in the first aspect of this application first judges the first data to be identified before analyzing new sensitive features based on the first data to be identified. Only when the first data to be identified does not conform to the known sensitive features in the feature library is the data analyzed and summarized through each field. In this way, the sensitive features summarized from the data to be identified are not already in the feature library. Adding new sensitive features to the feature library can improve the update efficiency of the feature library. After updating the feature library with new sensitive features, using the updated feature library for sensitive data identification can also enrich the types of sensitive data that can be identified.

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Abstract

This application provides a method for establishing a sensitive feature library and a method for identifying sensitive data. The method for establishing the sensitive feature library includes: using known sensitive features in the feature library to determine whether sensitive data exists in a first set of data to be identified; if the first set of data to be identified contains sensitive data, then extracting each field from the first set of data to be identified; analyzing new sensitive features based on each field; and adding the new sensitive features to the feature library to obtain the sensitive feature library. In this way, the sensitive features summarized from the data to be identified are not already present in the feature library. Adding new sensitive features to the feature library improves the update efficiency of the feature library. After updating the feature library with new sensitive features, using the updated feature library for sensitive data identification also enriches the types of sensitive data that can be identified.
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