Data Collaborative Detection Scheme of Electric Metering System Based on Edge Computing

doi:10.11930/j.issn.1004-9649.201904049

Abstract

Abstract: False data injection attacks are aimed at destroying the integrity and availability of power data in electric metering system. The false data detection scheme is of great significance to the secure and stable operation of smart grid. In order to address many security problems caused by false data in smart grid, this paper proposes a collaborative detection model of false data injection attacks based on edge computing, which improves the network structures of traditional metering system and provides the capability of global monitoring and detection function for false data by edge servers in smart grid. The scheme not only proposes some rules of detection for false data injection in electric metering system, but also constructs the reputation mechanism for data collectors. The simulation experiments have proved the validity of our proposed scheme.

Key words: smart grid, edge computing, false data, injection attacks, reputation mechanism, meter metering system

CLC Number:

TM76

QIAN Bin, CAI Ziwen, XIAO Yong, YANG Jinfeng, DONG Xingyin, GU Ke. Data Collaborative Detection Scheme of Electric Metering System Based on Edge Computing[J]. Electric Power, 2019, 52(11): 145-152.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201904049

https://www.electricpower.com.cn/EN/Y2019/V52/I11/145

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