An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets

An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets

The rapid expansion of Edge and Industrial Internet of Things (IIoT) systems has intensified the risk and complexity of cyberattacks. Detecting advanced intrusions in these heterogeneous and high-dimensional environments remains challenging. As the IIoT becomes integral to critical infrastructure, e...

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Bibliographic Details
Main Authors: Ahmad Salehiyan, Pardis Sadatian Moghaddam, Masoud Kaveh
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Future Internet
Subjects:
Industrial Internet of Things
intrusion detection
transformer
generative adversarial network
autoencoder
chimp optimization algorithm
Online Access:https://www.mdpi.com/1999-5903/17/7/279
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