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- W4386323799 abstract "This work is a follow-up to the experimentation that used the NARX neural networks as an intelligent detecting mechanism to detect cyber-physical attacks in connected microgrids. In this paper, we continue to explore the practical dimensions and limitations of the NRAX. Simultaneously, we propose the LSTM model to circumvent the encountered constraints. The trained LSTM model is then tested and proven effective in detecting attacks over a selection of both cyber and physically introduced attacks." @default.
- W4386323799 created "2023-09-01" @default.
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- W4386323799 date "2023-06-19" @default.
- W4386323799 modified "2023-09-27" @default.
- W4386323799 title "LSTM Networks for Cyber-physical Attack Diagnoses in Microgrids" @default.
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- W4386323799 doi "https://doi.org/10.1109/isie51358.2023.10228034" @default.
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