Data processing method, system and equipment and computer readable storage medium

Abstract

The invention discloses a data processing method, system and device and a computer readable storage medium, which are applied to a micro-service gateway, and the method comprises the following steps: obtaining to-be-stored data; identifying preset type data in the to-be-stored data; obtaining spliced data, the spliced data comprising data obtained by splicing the identifier of the preset key and the encrypted data, and the encrypted data comprising data obtained by encrypting the preset type of data based on the preset key; replacing the preset type of data in the to-be-stored data with the spliced data to obtain target data; and storing the target data into the micro-service cluster. In the application, the micro-service gateway can automatically identify the preset type of data in the to-be-stored data, obtain the corresponding spliced data, then obtain the target data based on the spliced data, and store the target data in the micro-service cluster, so that automatic secure storage of the to-be-stored data is realized, and the security of the to-be-stored data is improved. Therefore, the micro-service system can automatically perform security control on the data.

Description

technical field [0001] The present application relates to the technical field of data security, and more specifically, to a data processing method, system, device, and computer-readable storage medium. Background technique [0002] With the rapid development of Internet technology, more and more Internet companies choose to use microservice architecture instead of single application architecture, and split different functional modules of a single large-scale application into independent microservices, which are composed of microservice clusters. An application product. Usually a microservice cluster contains tens or hundreds of microservices. Different microservices process different user data, which contains a large amount of sensitive data. If these sensitive data are not processed, it is very likely to cause user sensitive data leakage accidents. , causing immeasurable losses to users, enterprises and even the country. [0003] Sensitive data of microservices is usually...

AI Technical Summary

Problems solved by technology

Although the first encryption method is safe, it also encrypts a large amount of non-sensitive data, causing unnecessary performance loss; the second encryption method is still feasible for small-scale clusters, but for hundreds of microservices Clusters, each microservice needs to perform data encryption business processing, which greatly increases the workload of product development, and the key management of the entire system becomes very difficult

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