Data desensitization method based on authority

Abstract

The invention relates to a data desensitization method based on an authority. The method comprises the following steps of 1, performing sensitive data recognition on original data, and building desensitization rules for the sensitive data; 2, defining a corresponding strategy between authorities and the desensitization rules: according to the access authority of a user, controlling access authorities of sensitive information, privacy information and secret information, and according to requirements of the different authorities on the sensitive data, making desensitization strategies corresponding to the authorities; 3, positioning desensitization data: positioning and recognizing desensitization data according to features of the sensitive data during a process of accessing the informationin the original data; and 4, dynamically generating the sensitive data: when the original data is output for displaying, desensitizing and outputting the data according to the desensitization strategycorresponding to the access authority of the user.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a permission-based data desensitization method. Background technique [0002] Government agencies, enterprises, and other organizations are under increasing pressure to provide raw data to the outside world. The collected data contains personally identifiable information, such as name, ID number, home address and other sensitive data. There is a gap between data sharing and privacy protection. contradiction. Data desensitization deforms sensitive data and is a way to balance the conflicting goals of data sharing and privacy protection. [0003] Data desensitization technology is risky and requires a compromise between data availability and privacy protection. If the data is completely desensitized, all identification information of the user needs to be eliminated, which will greatly reduce the potential analysis value of the data; if the user's private data ...

AI Technical Summary

Problems solved by technology

If the data is completely desensitized, all identification information of the user needs to be eliminated, which will greatly reduce the potential analysis value of the data; if the user's private data information is completely protected, the analysis value of the data can be maximized, but the risk of user privacy leakage cannot be controlled

At the same time, large-scale system development and testing processes in enterprises sometimes have certain requirements for data formats. If the desensitization method is not properly selected, it is very likely that the system functions will be unavailable.

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