Intelligent power grid lightweight privacy protection data aggregation method based on block chain

Abstract

The invention discloses an intelligent power grid lightweight privacy protection data aggregation method based on a block chain. The method comprises the steps of: generating and distributing parameter information of other entities in a system by a trusted third-party mechanism; selecting candidate nodes according to the attributes of the edge servers, screening the rotation sequence of the main nodes, and distributing parameters; enabling the intelligent electric meter to collect user power consumption data and transmit the user power consumption data to the edge server in charge of the area;enabling the edge server to perform local data aggregation and upload a result to the main node; enabling the main node to process the data and then add the data into a block chain; and enabling thecontrol center to perform data analysis on the information in the block chain and perform real-time regulation and control on the system. The edge server can reduce the communication overhead and thecalculation cost by aggregating the data for multiple times, and error data is filtered in advance; data sources are traceable, so that tamper resistance and decentralized management of the data are realized, and the method has higher attack resistance; and pairing operation and redundant calculation processes are reduced while efficient verification is guaranteed, and resource consumption is reduced.

Description

technical field [0001] The invention relates to a data aggregation method, in particular to a blockchain-based light-weight privacy protection data aggregation method for smart grids. Background technique [0002] Edge computing is a distributed computing paradigm that can preprocess local data on edge servers and save local data at the edge of the network instead of directly transmitting data to the control center. Therefore, edge computing not only provides low latency and location awareness, but also improves the real-time processing capability and quality of service of applications. Compared with traditional cloud computing, edge computing greatly reduces response time and energy consumption. Therefore, edge computing has a wide range of applications, such as video analytics, healthcare, connected cars, mobile big data analytics, smart grids, and ocean monitoring, among others. Taking the smart grid based on edge computing as an example, the edge server can collect the...

AI Technical Summary

Problems solved by technology

However, since the operating environment of smart grids is mostly based on edge computing scenarios, due to the complexity and real-time nature of edge computing service models, as well as the resource constraints and multi-source heterogeneity of smart meters, data security and privacy in traditional cloud computing environments Most of the protection mechanisms are based on the cloud center architecture, which has defects such as high computing costs, high communication overhead, difficult distributed management, and untrustworthy data sources. It is no longer suitable for edge computing and cannot be fully applied to edge devices with limited resources.

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