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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Manlaibaatar Tserenkhuu, Md Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Internet of Things
software defined network
deep learning
intrusion detection system
explainable AI
feature reduction
Online Access:https://ieeexplore.ieee.org/document/11112594/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11112594/

Similar Items