Privacy protection efficient aggregation and access control method for power grid data

Abstract

The invention discloses a privacy protection efficient aggregation and access control method for power grid data, which comprises the following steps of: generating all n key sequences required in a fixed time period, dividing data generated in the time period into n independent data blocks according to time slices, and calculating a data aggregation abstract of each database; encrypting all the data blocks in the time period by a secret key to generate an encrypted file, sending the encrypted file to a cloud server to be stored, and then obtaining a ciphertext according to the request of a data user and the access permission; and performing aggregation and decryption operation on the ciphertext by using the key set issued by the intelligent terminal to obtain a plaintext aggregation result of the power grid data. According to the method, low-delay query can be supported for power grid data which is huge in volume, high in generation speed and low in value density. The computing power of the edge intelligent terminal is fully utilized, dependence on the cloud server is reduced, and safe sharing of power grid data is achieved through fine-grained data access control.

Description

technical field [0001] The invention relates to a method for accessing grid data, in particular to a privacy-protected, efficient aggregation and access control method for grid data. Background technique [0002] With the development of modern science and technology and the acceleration of urbanization, smart grid applications have emerged and will soon replace traditional power grids. Smart grid aims to combine traditional power grid, Internet of Things and information technology, prompt grid users to actively manage daily power usage, and provide reference information needed for power grid planning and regulation in the power sector. At present, due to the continuous development of the smart grid and the Internet of Things system, the number of power users continues to grow rapidly, and the data types and data volumes of various grids are also increasing. The explosive growth of grid data makes the efficient aggregation and access of grid data a Research hotspots in acade...

AI Technical Summary

Problems solved by technology

However, most cloud computing models adopt centralized data processing methods, which makes the computing resources of edge devices not be effectively utilized.

And as the scale of data continues to grow, the bandwidth resources of cloud computing will be difficult to meet the needs of low-latency transmission

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