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...
Main Authors: | Zhaoyang Qu, Yunchang Dong, Nan Qu, Huashun Li, Mingshi Cui, Xiaoyong Bo, Yun Wu, Sylvère Mugemanyi |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-03-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.644489/full |
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