Homomorphic mapping method and system suitable for power grid big data

Abstract

The invention discloses a homomorphic mapping method and system suitable for power grid big data, and the method comprises the steps that: S1, a data provider carries out the initialization, and generates parameters and functions needed by data encryption and mapping according to original data; S2, the data provider performs mapping encryption on the original data according to the parameters and the functions; S3, the data provider sends the encrypted and mapped data and the operation request to a data calculation party; and S4, the data calculation party performs addition or multiplication operation on the encrypted and mapped data according to the operation request to generate ciphertext data, and returns the ciphertext data to the data provider. By using homomorphic mapping, the efficiency of applications such as outsourcing operation and the like can be greatly improved, the volume of ciphertext data is reduced, and computing resources are saved; and meanwhile, the data can be completely outsourced to the data calculation party, the privacy of the original data is protected, interaction with the calculation provider is not needed in the calculation process, and the calculation pressure of the data calculation party is reduced.

Description

technical field [0001] The invention relates to the technical field of grid data security, in particular to a homomorphic mapping method and system suitable for grid big data. Background technique [0002] Homomorphic encryption technology is a classic ciphertext computing technology, which mainly comes from foreign academic circles and is designed based on complex cryptography principles. In the actual use process, due to the use of matrix instead of the original data, the volume of ciphertext is rapidly expanded, and the calculation efficiency is also reduced, which cannot be well applied in the power grid big data environment. [0003] Secure multi-party computing technology is also a technology designed to protect the security of data usage. However, in the process of using this technology, similar to building a p2p network, the data provider is required to be always online and perform multiple calculations with the computing side in real time, which puts the data provi...

AI Technical Summary

Problems solved by technology

However, in the process of using this technology, similar to building a p2p network, the data provider is required to be online all the time and perform multiple calculations with the computing side in real time, which puts the data provider under greater business pressure

On the other hand, the data provider will send multiple data to multiple different computing parties. If the computing parties collude, the original data of the provider will also be leaked.

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