Ciphertext query calculation method for encrypted database

Abstract

The invention discloses a ciphertext query calculation method for a ciphertext database. The method comprises the following steps: 1) encrypting a plaintext data table by using a private key, and uploading the encrypted plaintext data table to a ciphertext database; 2) logging in the ciphertext database, inputting a plaintext SQL statement, and then proposing an addition, deletion and modification query request to a cloud server; 3) converting a plaintext SQL statement into a ciphertext SQL statement by using a user-defined function UDF according to the addition, deletion and modification query request; and 4) enabling the cloud server to execute related operation of the ciphertext SQL statement on the ciphertext data, and return an operation result to the client. The method supports multiple operation types, realizes addition, deletion, modification and query of the ciphertext, and is relatively high in operation efficiency.

Description

technical field [0001] The invention belongs to the technical field of information security, and relates to a cipher text query calculation method oriented to a secret state database. Background technique [0002] With the rapid growth and maturity of cloud infrastructure, corresponding cloud database services are emerging in an endless stream. Database users have gradually turned to cloud computing as a service in recent years. Whether it is a traditional offline database service or an ever-growing cloud database service, the core task of a database is to help users store and manage data. As a systematic solution that can completely solve the privacy protection of data in the whole life cycle, the fully encrypted database can effectively ensure that data is not lost and privacy is not leaked in view of data security problems existing in the cloud: users own data The decryption key and the data encryption and decryption process are only completed on the client side, and th...

AI Technical Summary

Problems solved by technology

The public key and private key of asymmetric encryption will lead to a very large ciphertext space, and the operation speed will be very slow

In addition, the calculation involved in the homomorphic operation of the asymmetric scheme is relatively complicated, which also affects the operation efficiency

Due to the limitations of the asymmetric homomorphic encryption scheme itself, in the homomorphic additive and multiplicative encryption schemes deployed in the existing secret-state databases, there has always been a problem that the cost and the diversity of support operations cannot be balanced.

At present, there is no effective solution for deploying a combination of encryption algorithms with higher computing efficiency for encrypted databases

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