False Data Injection Attack Detection in Power Systems Based on Cyber-Physical Attack Genes

False Data Injection Attack Detection in Power Systems Based on Cyber-Physical Attack Genes

In the process of the detection of a false data injection attack (FDIA) in power systems, there are problems of complex data features and low detection accuracy. From the perspective of the correlation and redundancy of the essential characteristics of the attack data, a detection method of the FDIA...

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Bibliographic Details
Main Authors: Zhaoyang Qu, Yunchang Dong, Nan Qu, Huashun Li, Mingshi Cui, Xiaoyong Bo, Yun Wu, Sylvère Mugemanyi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Energy Research
Subjects:
cyber-physical power system (CPPS)
false data injection attacks (FDIAs)
cyber-physical attack genes
stacked autoencoder network
cuckoo search algorithm (CS)
attack detection
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.644489/full

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https://www.frontiersin.org/articles/10.3389/fenrg.2021.644489/full

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