Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems

Industrial Control Systems (ICS) are critical to the efficient operation of essential sectors such as manufacturing, energy, and water management. However, their increasing integration with IT systems exposes them to sophisticated cyberattacks, particularly lateral attacks targeting Programmable Log...

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Hlavní autoři:	Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Anomaly detection intrusion detection systems machine learning threat detection programmable logic controllers
On-line přístup:	https://ieeexplore.ieee.org/document/10843706/
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