Data security storage method based on attribute partition

Abstract

The invention relates to the field of distributed storage and in particular relates to a data security storage method based on attribute partition, which considers privacy protection in distributed storage. The data security storage method based on the attribute partition comprises the following steps: pre-processing data submitted by an application and clustering the data according to the correlation degree of the data; dividing the clustered data according to privacy protection requirements of tenants; and finally, storing the divided data into different nodes by adopting a heuristic algorithm so as to enable a storage result to meet performance service quality requirements of a user and maximize the resource utilization rate. The method considers the requirements in two aspects including safety and performances; the service quality requirements of different are considered and the privacy protection of the data is also considered; and the resource utilization rate of service provides can also be improved and the operation cost is reduced.

Description

【Technical Field】 [0001] The present invention relates to the field of distributed distribution, in particular to a data security storage method based on attribute division in which privacy protection is considered in distributed distribution. 【Background technique】 [0002] With the development of informatization and Internet technology, the number of network users and the scale of applications have rapidly expanded, and the amount of data storage has shown explosive growth. In the face of massive data, it is also required to be able to manage and calculate quickly to improve response speed. The distributed environment is well adapted to these requirements, but not only can optimize the performance overhead brought by data storage, but also the open platform and sharing mode of the distributed environment, users and resources are highly concentrated, and they also face a lot of security and privacy protection Challenges. Especially in application data-oriented access scenarios...

AI Technical Summary

Problems solved by technology

However, these methods do not consider the impact of data privacy protection when dividing and processing user data, and only start from the perspective of performance and other requirements.

In addition, in a distributed environment, the data isolation between different users is logically isolated. At the same time, in order not to affect the efficiency of application data processing, the data is often stored in the server in plain text. Once the server is compromised, it will cause serious damage. Serious Privacy Leakage Problem

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