A comparative study of using boosting-based machine learning algorithms for IoT network intrusion detection

M Saied, S Guirguis, M Madbouly - International Journal of Computational …, 2023 - Springer
Abstract The Internet-of-Things (IoT) environment has revolutionized the quality of living
standards by enabling seamless connectivity and automation. However, the widespread …

Towards optimized machine-learning-driven intrusion detection for Internet of Things applications

K Alemerien, S Al-suhemat, M Almahadin - International Journal of …, 2024 - Springer
As the utilization of Internet of Things devices becomes increasingly important in real-life
applications, the need to address potential threats to the infrastructure of these networks …

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

IoT Network Intrusion Detection with Ensemble Learners

SA Abdulkareem, CH Foh, H Lee… - … on Information and …, 2022 - ieeexplore.ieee.org
Protecting information systems against intruders' attacks requires utilising intrusion detection
systems. Over the past several years, many open-source intrusion datasets have been made …

A novel intrusion detection approach using machine learning ensemble for IoT environments

P Verma, A Dumka, R Singh, A Ashok, A Gehlot… - Applied Sciences, 2021 - mdpi.com
The Internet of Things (IoT) has gained significant importance due to its applicability in
diverse environments. Another reason for the influence of the IoT is its use of a flexible and …

A Comprehensive Survey on Ensemble Machine Learning Approaches for Detection of Intrusion in IoT Networks

JJ Shirley, M Priya - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Threats to network security have been increasing leading to severe network attacks such
that a simple firewall will not be sufficient to deter challenging and complicated attacks …

Machine Learning for IoT based networks intrusion detection: a comparative study

M Baich, T Hamim, N Sael, Y Chemlal - Procedia Computer Science, 2022 - Elsevier
Abstract Internet of Things (IoT) refers to technologies that enable the connection of objects
to the internet and also collect data with minimal human intervention. Nowadays IoT is …

[HTML][HTML] A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

M Samantaray, RC Barik, AK Biswal - Decision Analytics Journal, 2024 - Elsevier
The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …

A review on machine learning based intrusion detection system for internet of things enabled environment.

NS Gill, P Gulia - International Journal of Electrical & …, 2024 - search.ebscohost.com
Within an internet of things (IoT) environment, the fundamental purpose of various devices is
to gather the abundant amount of data that is being generated and then transmit this data to …

[PDF][PDF] A hybrid classification approach for intrusion detection in iot network

S Choudhary, N Kesswani - 2021 - core.ac.uk
With the increase in number of IoT devices, the capabilities to provide reliable security and
detect the malicious activities within the IoT network have become quite challenging. We …