Data storage and query methods and apparatuses, electronic device and readable storage medium

Abstract

The invention provides data storage and query methods and apparatuses, an electronic device and a readable storage medium. The calculation overhead of a cloud storage service provider and a user end can be greatly reduced; data privacy and query privacy of a user can be better protected; and the data query efficiency is improved. The data storage method comprises the steps of splitting a key nameand a key value of a key-value pair into a key name section and a key value section, and generating a unique random number to correspond to the key-value pair data; and associating the random number with the key name section and the key value section and sending the random number to a specified server for performing storage.

Description

Technical field [0001] The present invention relates to the technical field of computers and computer software, and in particular to a method, device, electronic equipment and readable storage medium for data storage and query. Background technique [0002] In the cloud storage environment, users need to upload data to the cloud storage service provider and save it in the cloud server. At this time, because the data is out of the user's control, the security of the data cannot be ensured. [0003] From the perspective of users, their demands for privacy protection mainly include the following two points: one is data privacy, that is, users need to ensure that the data they upload is protected by security; the other is query privacy, that is, users need to ensure that the queries they submit The content could not be recognized. [0004] In order to protect the privacy of users, cloud service providers generally first encrypt the user’s original data set to obtain the ciphertext W, an...

AI Technical Summary

Problems solved by technology

[0005] 1. Difficulties in performance and efficiency of encryption and decryption algorithms;

[0006] 2. Difficulties in key management

[0012] 1. Failure to fully consider the user's security demands for query privacy, and fail to guarantee that the user's query content will not be obtained;

[0013] 2. The existing technical solution can only support keyword matching query, and cannot perform range query. When multiple keyword queries are required, multiple queries are required

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