A hybrid deep learning-based intrusion detection system for IoT networks

A hybrid deep learning-based intrusion detection system for IoT networks

The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential applications, but the security of IoT networks remains a major concern. The existing system needs improvement in detecting intrusions in IoT networks. Several researchers have focused on intrusion detection...

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Bibliographic Details
Main Authors: Noor Wali Khan, Mohammed S. Alshehri, Muazzam A Khan, Sultan Almakdi, Naghmeh Moradpoor, Abdulwahab Alazeb, Safi Ullah, Naila Naz, Jawad Ahmad
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
iot
intrusion detection
deep learning
machine learnnig
cyberattacks
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023602?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023602?viewType=HTML

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