Assessing Machine Learning Techniques for Intrusion Detection in Cyber-Physical Systems
Cyber-physical systems (CPS) are vital to key infrastructures such as Smart Grids and water treatment, and are increasingly vulnerable to a broad spectrum of evolving attacks. Whereas traditional security mechanisms, such as encryption and firewalls, are often inadequate for CPS architectures, the i...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-08-01
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| coleção: | Energies |
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| Acesso em linha: | https://www.mdpi.com/1996-1073/16/16/6058 |
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