Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

A Almotairi, S Atawneh, OA Khashan… - Systems Science & …, 2024 - Taylor & Francis
Internet of Things (IoT) technology has evolved significantly, transitioning from personal
devices to powering smart cities and global deployments across diverse industries …

One-class Classification Using Autoencoder Feature Residuals for Improved IoT Network Intrusion Detection

B Lewandowski, R Paffenroth - 2023 32nd International …, 2023 - ieeexplore.ieee.org
Networks are rapidly evolving to include more Internet of Things devices as we grow to rely
on them for smart home services, health infrastructure, and industrial development. Along …

Intrusion Detection Using Artificial Intelligence Techniques

ZH Salim, SO Hasoon - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The rising frequency of cyberattacks emphasizes the vital necessity for resilient Intrusion
Detection Systems (IDS) to safeguard computer networks, focusing on the application of …

Intrusion Detection System Using Machine Learning by RNN Method

K Azarudeen, D Ghulam, G Rakesh… - E3S Web of …, 2024 - e3s-conferences.org
As computer networks continue to grow, network intrusions become more frequent,
advanced, and volatile, making it challenging to detect them. This has led to an increase in …

applying hybrid clustering with evaluation by AUC classification metrics

A Fattah, WM Ali… - International Journal of …, 2024 - journals.uob.edu.bh
Traditional metrics may not adequately assess performance in certain situations, whereas
Area Under the Curve (AUC) offers a comprehensive perspective by considering sensitivity …

A Novel Cuckoo Search-Based Optimized Deep CNN Model for Phishing Attack Detection in IoT Environment

BB Gupta, A Gaurav, RW Attar, V Arya - 2024 - researchsquare.com
There is a serious risk to information privacy and security in the IoT ecosystem from phishing
attacks. This research offers a unique strategy for increasing phishing attack detection by …

Intrusion Detection System based on Pattern Recognition using CNN

SH Kumar, TVA Vijay, P Thirukumaran… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
The Intrusion Detection System (IDS) is a security tool that uses pattern recognition
algorithms to detect unusual activity in a network. IDS-based pattern recognition techniques …