Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments

Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments

Intrusion detection in the Internet of Things (IoT) environments is increasingly critical due to the rapid proliferation of connected devices and the growing sophistication of cyber threats. Traditional detection methods often fall short in identifying multi-class attacks, particularly in the presen...

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Bibliographic Details
Main Authors: Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Future Internet
Subjects:
intrusion detection
IoT networks
transformers
generative adversarial network
non-dominated sorting biogeography-based optimization
Online Access:https://www.mdpi.com/1999-5903/17/6/258
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https://www.mdpi.com/1999-5903/17/6/258

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