An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection

M Mohy-Eddine, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract The Internet of Things (IoT) interconnects billions of sensors and actuators to serve
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …

IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

An effective intrusion detection approach based on ensemble learning for IIoT edge computing

M Mohy-Eddine, A Guezzaz, S Benkirane… - Journal of Computer …, 2023 - Springer
Abstract The Internet of Things (IoT) has recently gained immense popularity. IoT is a set of
devices that compute, communicate with each other, and consist of a vast network. Industrial …

Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM

AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …

[HTML][HTML] Feature selection for intrusion detection system in Internet-of-Things (IoT)

P Nimbalkar, D Kshirsagar - ICT Express, 2021 - Elsevier
Abstract Internet of Things (IoT) is suffered from different types of attacks due to vulnerability
present in devices. Due to many IoT network traffic features, the machine learning models …

[PDF][PDF] A Machine Learning-Based Lightweight Intrusion Detection System for the Internet of Things.

S Fenanir, F Semchedine… - Revue d'Intelligence …, 2019 - researchgate.net
Accepted: 12 June 2019 The Internet of Things (IoT) is vulnerable to various attacks, due to
the presence of tiny computing devices. To enhance the security of the IoT, this paper builds …

An effective feature selection model using hybrid metaheuristic algorithms for iot intrusion detection

SS Kareem, RR Mostafa, FA Hashim, HM El-Bakry - Sensors, 2022 - mdpi.com
The increasing use of Internet of Things (IoT) applications in various aspects of our lives has
created a huge amount of data. IoT applications often require the presence of many …

Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks

JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …

A comprehensive analyses of intrusion detection system for IoT environment

JCS Sicato, SK Singh, S Rathore… - Journal of Information …, 2020 - koreascience.kr
Abstract Nowadays, the Internet of Things (IoT) network, is increasingly becoming a
ubiquitous connectivity between different advanced applications such as smart cities, smart …