Data collection method, device, equipment and storage medium

Abstract

The invention relates to a data collection method, a device, equipment and a storage medium. The method comprises the steps: obtaining a data call request sent by a first terminal, and enabling the data call request to carry a first distributed identity recognition of a data authorization user and an recognition of a data call user; performing identity authentication on a data calling user corresponding to the first terminal according to the data calling request; when the data calling user is authenticated to be legal, allocating a second distributed identity identifier to the data calling user; querying a data authorization certificate of the data authorization user by utilizing the first distributed identity identifier according to the second distributed identity identifier; sending a data authorization request to a second terminal corresponding to the data authorization user according to the data authorization certificate; and after determining that the data authorization user determines authorization, encrypting a request result corresponding to the data call request, and sending the encrypted request result to the first terminal. The method and the device are used for improving the data safety.

Description

technical field [0001] The present application relates to the technical field of blockchain, and in particular to a data acquisition method, device, equipment and storage medium. Background technique [0002] In the era of digital economy, the importance of data security and privacy protection has become increasingly prominent. Therefore, many data security protection solutions have been born. In the prior art, by building a big data center platform, the authority of authorized access to the data that needs to be shared is set through the big data center platform, so as to realize data authorized access. [0003] It can be seen that the existing technical solutions are centralized, and the import and export of data are all managed through the big data center platform. This is very prone to risks of data leakage and data security management, and the process and results of data authorization also exist on the big data center platform, posing data trust risks. Contents of th...

AI Technical Summary

Problems solved by technology

[0003] It can be seen that the existing technical solutions are centralized, and the import and export of data are all managed through the big data center platform

This is very prone to data leakage and data security management risks, and the data authorization process and authorization results also exist on the big data center platform, and there are data trust risks

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