Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models
Author:
Affiliation:
1. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia
2. Research and Innovation Centers, Rabdan Academy, Abu Dhabi, United Arab Emirates
3. MEU Research Unit, Middle East University, Amman, Jordan
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2321381
Reference56 articles.
1. A new ensemble-based intrusion detection system for internet of things;Abbas A.;Arabian Journal for Science and Engineering,2021
2. A Review on IoT Intrusion Detection Systems Using Supervised Machine Learning: Techniques, Datasets, and Algorithms
3. Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review
4. IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
5. Evaluation of Machine Learning Algorithms for Intrusion Detection System in WSN
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