TFKAN: Transformer based on Kolmogorov–Arnold Networks for Intrusion Detection in IoT environment

TFKAN: Transformer based on Kolmogorov–Arnold Networks for Intrusion Detection in IoT environment

This work proposes a novel Transformer based on the Kolmogorov–Arnold Network (TFKAN) model for Intrusion Detection Systems (IDS) in the IoT environment. The TFKAN Transformer is developed by implementing the Kolmogorov–Arnold Networks (KANs) layers instead of the Multi-Layer Perceptrons (MLP) layer...

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Bibliographic Details
Main Authors: Ibrahim A. Fares, Mohamed Abd Elaziz, Ahmad O. Aseeri, Hamed Shawky Zied, Ahmed G. Abdellatif
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Egyptian Informatics Journal
Subjects:
Kolmogorov–Arnold Networks (KANs)
Transformers
Intrusion detection
Cybersecurity
Multi-Layer Perceptrons (MLPs)
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866525000593
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