On the Generation of Anomaly Detection Datasets in Industrial Control Systems

On the Generation of Anomaly Detection Datasets in Industrial Control Systems

In recent decades, Industrial Control Systems (ICS) have been affected by heterogeneous cyberattacks that have a huge impact on the physical world and the people's safety. Nowadays, the techniques achieving the best performance in the detection of cyber anomalies are based on Machine Learning a...

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Bibliographic Details
Main Authors: Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente, Cristian Cadenas Sarmiento, Carlos Javier Del Canto Masa, Ruben Mendez Nistal
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Anomaly detection
critical infrastructures
industrial control
industrial control systems
industry applications
machine learning
Online Access:https://ieeexplore.ieee.org/document/8926471/

Internet

https://ieeexplore.ieee.org/document/8926471/

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