Optimizing CNN-LSTM for the Localization of False Data Injection Attacks in Power Systems

Optimizing CNN-LSTM for the Localization of False Data Injection Attacks in Power Systems

As the informatization of power systems advances, the secure operation of power systems faces various potential network attacks and threats. The false data injection attack (FDIA) is a common attack mode that can lead to abnormal system operations and serious economic losses by injecting abnormal da...

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Bibliographic Details
Main Authors: Zhuo Li, Yaobin Xie, Rongkuan Ma, Zihan Wei
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Applied Sciences
Subjects:
power systems
attack detection
deep learning
genetic algorithm
Online Access:https://www.mdpi.com/2076-3417/14/16/6865

Internet

https://www.mdpi.com/2076-3417/14/16/6865

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