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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Principais autores:	Zhaoyang Qu, Yunchang Dong, Nan Qu, Huashun Li, Mingshi Cui, Xiaoyong Bo, Yun Wu, Sylvère Mugemanyi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-03-01
coleção:	Frontiers in Energy Research
Assuntos:	cyber-physical power system (CPPS) false data injection attacks (FDIAs) cyber-physical attack genes stacked autoencoder network cuckoo search algorithm (CS) attack detection
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fenrg.2021.644489/full
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