Data encryption method and device for different sensitive fields

Abstract

The invention relates to a data encryption method and device for different sensitive fields, and the method comprises the steps: (1) creating a local sensitive keyword library, and marking encryption levels for sensitive words in the local sensitive keyword library; step (2), constructing different secret keys for sensitive words with different encryption levels in the local sensitive keyword library; step (3): receiving to-be-encrypted data, and classifying encryption levels of each field content of the to-be-encrypted data through the trained semantic model to obtain a classification result; and step (4), according to the classification result, encrypting the to-be-encrypted data through the different keys. According to the invention, data can be effectively encrypted, and data privacy leakage is prevented.

Description

technical field [0001] The invention relates to the technical field of data encryption, in particular to a data encryption method and device for different sensitive fields. Background technique [0002] With the continuous development of big data and data analysis technology, large and medium-sized enterprises generally involve important sensitive data. Usually, the confidentiality of these data is relatively poor. Once the data is leaked, it may bring great harm to the company or individual. Negative impact. In the prior art, although the data is encrypted, it is usually a relatively simple encryption method, and the password is easy to be cracked, which cannot fundamentally solve the problem of leakage. [0003] Not only that, many existing encryption methods usually encrypt the data uniformly. This encryption method does not divide the privacy level of the data well, which will cause the data segments that do not need to be encrypted to be over-encrypted, and the data tha...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of big data and data analysis technology, large and medium-sized enterprises generally involve important sensitive data. Usually, the confidentiality of these data is relatively poor. Once the data is leaked, it may bring great harm to the company or individual. Negative impact. In the existing technology, although the data is encrypted, it is usually a relatively simple encryption method, and the password is easy to be cracked, which cannot fundamentally solve the problem of leakage

[0003] Not only that, many existing encryption methods usually encrypt the data uniformly. This encryption method does not divide the privacy level of the data well, which will cause the data segments that do not need to be encrypted to be over-encrypted, and the data that needs to be encrypted will be over-encrypted. The degree of segment encryption is not enough, and the privacy of data cannot be encrypted and protected.

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