Sensitive data determination method and device based on big data

A technology for sensitive data and determination methods, applied in the field of data processing, can solve the problems of sensitive data not being discovered, increasing the risk of sensitive data leakage, and not being able to analyze and process unstructured data, so as to improve the recognition rate.

Pending Publication Date: 2019-11-19
恩亿科(北京)数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing methods for identifying sensitive data cannot analyze and process data such as unstructured data, resul

Method used

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[0048]In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, every other embodiment obtained by those skilled in the art without ma

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Abstract

The invention provides a sensitive data determination method and device based on big data, and the method comprises the steps: firstly obtaining a first screening condition of sensitive data; secondly, determining a data analysis mode of the target data set based on the type of the data in the target data set, and performing data analysis on the target data set by utilizing the data analysis mode;and finally, based on the first screening condition of the sensitive data, screening the data in the target data set after data analysis to obtain a first type of sensitive data. Compared with the prior art, different analysis methods can be adopted for different types of data, so that the sensitive data in the unstructured data can be identified, the identification rate of the sensitive data isimproved, and the sensitive data of a user is protected.

Description

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Claims

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Application Information

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Owner 恩亿科(北京)数据科技有限公司
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