Data access method

Abstract

The invention discloses a data access method. The method comprises the following steps of: processing original data by utilizing a byte as a unit, and flexibly splitting the byte value of the data according to needs, and supposing that the data is split into k parts (k is greater than 1); and introducing a data redundancy strategy to further process the split data so as to finally convert the k parts of data into n parts of redundancy splitting data (n is greater than k) supporting distributive storage. When the original data is needed to be accessed, according to the method, any k parts of data among the n parts of split data are taken to reconstruct the original data, so that the integrity and the accuracy of the data are ensured; meanwhile, due to the existence of data redundancy, the problem that certain split data is unusable due to factors of damage to the certain split data is effectively solved; in addition, the original data is reconstructed by at least obtaining k parts of split data and learning an algorithm and relevant parameters, so that security threats caused by external attacks or storage service providers are greatly reduced; and the data access method can be used for effectively improving the privacy and the usability of data storage and is quite suitable for a current extensive distributive storage mode.

Description

technical field [0001] The invention belongs to the technical field of data access, and in particular relates to a data access method. Background technique [0002] The development of storage methods has gone through the era of built-in storage, the era of direct-connected storage, the era of network storage, and the era of cluster storage. Among them, storage technologies such as NAS (Network Attached Storage) and SAN (Storage Area Network) have emerged in the era of network storage. Clusters also have their own characteristics and advantages, and distributed storage methods are gradually becoming popular. [0003] Distributed storage methods can generally be divided into structured, semi-structured and unstructured storage according to the type of data stored; or divided into master-slave and peer-to-peer (ie P2P) storage according to the architecture of the storage system . Master-slave storage systems also include structured ones such as Oracle clusters, semi-structur...

AI Technical Summary

Problems solved by technology

This method has high requirements for users, and also increases the time cost of users, etc.

And user data often needs to be stored online for a long time. In this case, the key that currently provides sufficient security for the data may no longer be reliable after a period of time

Based on the above reasons, the security system based on explicit security policies is largely no longer applicable to online data storage services.

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