A Data Security Storage Method Based on Attribute Partition

Abstract

The present invention relates to the distributed field, and in particular to a data security storage method based on attribute division in consideration of privacy protection in distributed storage; it includes the following steps: preprocessing the data submitted by the application, and then processing the data according to the degree of relevance of the data Clustering, and then divide the clustered data according to the privacy protection requirements of the tenants, and finally use a heuristic algorithm to store the divided data in different nodes, so that the stored results meet the user's performance and service quality requirements at the same time Maximum resource utilization. This method takes into account both security and performance requirements, not only considers the service quality requirements of different users, but also considers the privacy protection of data, and can also improve the resource utilization rate of service providers and reduce their operating costs.

Description

【Technical field】 [0001] The invention relates to the field of distribution, in particular to a data security storage method based on attribute division considering privacy protection in the distribution. 【Background technique】 [0002] With the development of informatization and Internet technology, the number of network users and the scale of applications are rapidly expanding, and the amount of data storage is showing explosive growth. In the face of massive data, it is also required to be able to manage and calculate quickly and improve the 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 shared mode of the distributed environment, users and resources are highly concentrated, and it also faces a lot of security and privacy protection aspects of the challenge. Especially in application data-oriented access scenarios, where applicat...

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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