Cross-domain identification analysis node data privacy protection and security sharing method and system

Abstract

The invention relates to a cross-domain identification analysis node data privacy protection and security sharing method and system. The method comprises the following steps: carrying out privacy data grading division on to-be-processed data generated by enterprise nodes; verifying the legality of the to-be-processed data, and encrypting the to-be-processed data when the to-be-processed data is legal; obtaining a corresponding encryption algorithm or desensitization algorithm according to the division result and the data request; encrypting or desensitizing the data by using an encryption algorithm or a desensitization algorithm, and storing the encrypted or desensitized data to a corresponding database; and when a data query request is obtained, enabling the identification analysis system directly to obtain data from a corresponding database in a node encryption mode and transmit the obtained data to the node front-end module of the enterprise node, and enabling the node front-end module to decrypt the obtained data and transmit the data to the enterprise node. The data privacy protection and sharing degree can be improved, and the development cost and the operation cost of the whole industry can be saved.

Description

technical field [0001] The present invention relates to the field of industrial Internet identification analysis data security, in particular to a cross-domain identification analysis node data privacy protection and security sharing method and system. Background technique [0002] The scale of the industrial Internet industry is trillions of scale and has become the pillar of national economic development. In recent years, the industrial Internet industry has developed in a blowout manner, but the security technology strength of various enterprises varies, and the industrial Internet identification data has security risks such as illegal cracking, unauthorized access, and privacy leakage. Sensitive data and private data are the core assets of enterprises, and data leakage will bring huge economic losses. [0003] Traditional solutions use firewalls, intrusion detection, etc. to build network security layer protection. This network security layer protection method has high ...

AI Technical Summary

Problems solved by technology

[0007] In the existing industrial Internet identification analysis identification data storage and data use process, there are problems such as high encryption cost, excessive data interaction, weak data privacy protection, and low degree of sharing

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