Intrusion Detection System Framework for SDN-Based IoT Networks Using Deep Learning Approaches With XAI-Based Feature Selection Techniques and Domain-Constrained Features

The proliferation of Internet of Things (IoT) applications impact many aspects of life, including smart homes, smart offices, and smart cities, among others. However, it poses significant cybersecurity threats. Intrusion detection systems (IDSs) utilize artificial intelligence, especially deep learn...

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Asıl Yazarlar: Manlaibaatar Tserenkhuu, Md Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IEEE 2025-01-01
Seri Bilgileri:IEEE Access
Konular:
Internet of Things
software defined network
deep learning
intrusion detection system
explainable AI
feature reduction
Online Erişim:https://ieeexplore.ieee.org/document/11112594/
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