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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Bibliografski detalji

Glavni autori:	Vinícius F. Santos, Célio Albuquerque, Diego Passos, Silvio E. Quincozes, Daniel Mossé
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-08-01
Serija:	Energies
Teme:	cyber-physical systems intrusion detection systems offline machine learning online machine learning
Online pristup:	https://www.mdpi.com/1996-1073/16/16/6058
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