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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Bibliografiske detaljer

Principais autores:	Vinícius F. Santos, Célio Albuquerque, Diego Passos, Silvio E. Quincozes, Daniel Mossé
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-08-01
Serier:	Energies
Fag:	cyber-physical systems intrusion detection systems offline machine learning online machine learning
Online adgang:	https://www.mdpi.com/1996-1073/16/16/6058
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