A desensitization method and system for mixed data

Abstract

The invention discloses a method and system for desensitizing mixed data. After obtaining the mixed data to be desensitized, the mixed data to be desensitized is split and classified to obtain a set of split dictionaries and mark the set of split dictionaries. According to the corresponding sensitive information type, the split dictionary set identifying the sensitive information type is obtained; according to the preset desensitization algorithm, the asynchronous thread is used to dynamically desensitize the split dictionary set identifying the sensitive information type. The mixed data desensitization method and system provided by the present invention can quickly desensitize mixed data containing different types of sensitive information by establishing an asynchronous thread, laying a solid foundation for building a safe and reliable data usage environment.

Description

technical field

[0001] The invention relates to the field of information security, in particular to a mixed data desensitization method and system. Background technique

[0002] Data desensitization refers to the transformation of certain sensitive information through desensitization rules to achieve reliable protection of sensitive private data. In the case of customer security data or some commercially sensitive data, the real data is transformed and provided for testing without violating system rules, such as ID number, mobile phone number, card number, customer number and other personal information. Data desensitization.

[0003] The big data environment has been gradually applied to major enterprises. The ownership and use rights of enterprise sensitive data are not clearly defined and managed, which may cause the leakage of user privacy information and enterprise internal data, and directly cause double losses of enterprise reputation and economy. The massive collect...

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