A comparative evaluation of intrusion detection systems on the edge-IIoT-2022 dataset

We propose and evaluate a data-driven intrusion detection system (IDS) for the Internet of Things (IoT) and Industrial IoT (IIoT) environments using the Edge-IIoT-2022 dataset. We model the IDS problem as a classification problem and learn the classifier via supervised learning algorithms. Our main...

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Autors principals:	Taraf Al Nuaimi, Salama Al Zaabi, Mansor Alyilieli, Mohd AlMaskari, Salim Alblooshi, Fahad Alhabsi, Mohd Faizal Bin Yusof, Ahmad Al Badawi
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-11-01
Col·lecció:	Intelligent Systems with Applications
Matèries:	Internet of things Industrial internet of things Intrusion detection systems Data analytics Supervised learning Classification
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2667305323001230
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