MULTI-BLOCK: A novel ML-based intrusion detection framework for SDN-enabled IoT networks using new pyramidal structure-Reference-Cited by-同舟云学术

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MULTI-BLOCK: A novel ML-based intrusion detection framework for SDN-enabled IoT networks using new pyramidal structure

Published:2024-07 Issue: Volume:26 Page:101231
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Toony Ahmed A.,Alqahtani Fayez^ORCID,Alginahi Yasser^ORCID,Said Wael

Funder

King Saud University

Publisher

Elsevier BV

Reference44 articles.

1. Enhancing IoT network security through deep learning-powered intrusion detection system;Bakhsh;Internet Things,2023

2. Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified arithmetic optimization algorithm;Fraihat;Internet Things,2023

3. A survey on intrusion detection systems for fog and cloud computing;Chang;Future Internet,2022

4. Federated-learning-based anomaly detection for IoT security attacks;Mothukuri;IEEE Internet Things J.,2021

5. A survey on the role of wireless sensor networks and IoT in disaster management;Adeel,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel deep learning-based intrusion detection system for IoT DDoS security;Internet of Things;2024-12

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