Detection of Random False Data Injection Cyberattacks in Smart Water Systems Using Optimized Deep Neural Networks
A cyberattack detection model based on supervised deep neural network is proposed to identify random false data injection (FDI) on the tank’s level measurements of a water distribution system. The architecture of the neural network, as well as various hyper-parameters, is modified and tuned to acqui...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2022-07-01
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| Seria: | Energies |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/1996-1073/15/13/4832 |
| Etykiety: |
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