[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 …
present in devices. Due to many IoT network traffic features, the machine learning models …
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 …
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …
Machine learning based intrusion detection systems for IoT applications
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 …
present. The characteristics of IoT on one side make it easily applicable to real-life …
[HTML][HTML] IoT intrusion detection using machine learning with a novel high performing feature selection method
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
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 …
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …
UIDS: a unified intrusion detection system for IoT environment
Intrusion detection system (IDS) using machine learning approach is getting popularity as it
has an advantage of getting updated by itself to defend against any new type of attack …
has an advantage of getting updated by itself to defend against any new type of attack …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
[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 …
the presence of tiny computing devices. To enhance the security of the IoT, this paper builds …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
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 …
environment, where security and privacy are of great importance. Our lives have significantly …