An Ensemble‐Based Multiclass Classifier for Intrusion Detection Using Internet of Things

D Rani, NS Gill, P Gulia… - Computational …, 2022 - Wiley Online Library
Internet of Things (IoT) is the fastest growing technology that has applications in various
domains such as healthcare, transportation. It interconnects trillions of smart devices through …

A comparative study of supervised Machine Learning classifiers for Intrusion Detection in Internet of Things

N Saran, N Kesswani - Procedia Computer Science, 2023 - Elsevier
In recent years, the field of computer networks and the internet has experienced exponential
growth. At the same time, it also raises issues with respect to security. The standard …

EIDM: deep learning model for IoT intrusion detection systems

O Elnakib, E Shaaban, M Mahmoud… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

Machine learning based intrusion detection systems for IoT applications

A Verma, V Ranga - Wireless Personal Communications, 2020 - Springer
Abstract Internet of Things (IoT) and its applications are the most popular research areas at
present. The characteristics of IoT on one side make it easily applicable to real-life …

[PDF][PDF] Ensemble learning approach for classification of network intrusion detection in IoT environment

PR Maidamwar, PP Lokulwar… - International Journal of …, 2023 - mecs-press.net
Over the last two years, the number of cyberattacks has grown significantly, paralleling the
emergence of new attack types as intruder's skill sets have improved. It is possible to attack …

Two-step ensemble approach for intrusion detection and identification in IoT and fog computing environments

CA De Souza, CB Westphall, RB Machado - Computers & Electrical …, 2022 - Elsevier
Abstract Due to Internet of Things devices resource limitations, security often does not
receive enough attention. Intrusion detection approaches are important for identifying …

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 …

Ensemble detection model for IoT IDS

A Alhowaide, I Alsmadi, J Tang - Internet of Things, 2021 - Elsevier
The constant development of interrelated computing devices and the emergence of new
network technologies have dramatically increased the Internet of Things (IoT) devices …

Intrusion detection system for iot environment using ensemble approaches

AS Ahanger, SM Khan… - 2023 10th International …, 2023 - ieeexplore.ieee.org
To ensure that important assets are available and secure within a protected network
architecture, Intrusion Detection Systems (IDS) are commonly used. However, current IDS …