CKAN: Convolutional Kolmogorov-Arnold Networks Model for Intrusion Detection in IoT Environment

This paper proposes a novel Convolutional Kolmogorov-Arnold Network (CKAN) model for Intrusion Detection Systems (IDS) in an IoT environment. The CKAN model is developed by replacing the Multi-Layer Perceptrons (MLPs) layers with Kolmogorov-Arnold Networks (KANs) layers inside the Convolutional Neur...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.134837-134851
Hauptverfasser:	Abd Elaziz, Mohamed, Ahmed Fares, Ibrahim, Aseeri, Ahmad O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification Computational modeling Computer architecture Convolutional neural networks Datasets Deep learning Intrusion detection Intrusion detection systems intrusion detection systems (IDS) IoT Kolmogorov-Arnold networks (KANs) Machine learning multi-layer perceptrons Multilayer perceptrons Multilayers Neural networks Parameters Performance evaluation Performance measurement Recurrent neural networks Splines (mathematics)
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