Sensitive data self-adaptive desensitization method and system

Abstract

The invention discloses a sensitive data self-adaptive desensitization method and system, and relates to the field of computer technology and information security, and the method comprises the following steps: a plurality of desensitization algorithms is added into a desensitization server, anda one-to-one corresponding quantitative relation between each desensitization algorithm and each desensitization effect in a plurality of desensitization effects is set; the desensitization server receives a desensitization instruction sent by the client device, and reads the original data from the datasource server according to the desensitization instruction; the desensitization server constructs a desensitization effect preference training set of the user for different sensitive data types to form a decision tree; and the desensitization server positions the sensitive data existing in the original data, determines the type of the sensitive data, selects a desensitization algorithm for the sensitive data by using a decision tree, and generates replacement data of the sensitive data according to the desensitization algorithm. The user configuration process is simple, and intelligent automatic configuration and automatic desensitization of the desensitization strategy can be realized.

Description

technical field [0001] The present invention relates to the fields of computer technology and information security, and more specifically, to an adaptive desensitization method and system for sensitive data. Background technique [0002] With the advent of the data age, the huge value contained in the data has been tapped, but it has also brought difficulties in the protection of private information and key sensitive data. How to protect sensitive information from leakage while achieving efficient data sharing has become a key link in the development of data security intelligence. [0003] Data desensitization is to change its value while preserving the original characteristics of the data, so as to protect sensitive data from unauthorized access, and at the same time to perform related data processing, which can maintain the meaning and validity of the data while retaining the meaning and validity of the data. security and comply with data privacy regulations. With the he...

AI Technical Summary

Problems solved by technology

[0004] Before setting desensitization rules for sensitive data fields, users often need to learn the data desensitization strategies preset by the system, and even make personalized customization modifications, which greatly increases the user's operation and maintenance costs

And because the implementation of the desensitization strategy is generally completed by the algorithm specified by the system, users often cannot predict the effect of sensitive data desensitization

According to the actual use of the deployed desensitization system, users are dissatisfied with the effect of sensitive data desensitization, and repeated policy modification occurs from time to time

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