AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …
devastating and challenging cyber-attacks. The number of IoT users is growing …
An overview of the security challenges in IoT environment
S Dargaoui, M Azrour, A El Allaoui, F Amounas… - Advanced technology for …, 2023 - Springer
The internet of things (IoT) is a huge network of heterogeneous devices; sensors and
actuators, which provide a better world of services such as smart cities, smart grid, health …
actuators, which provide a better world of services such as smart cities, smart grid, health …
An improved anomaly detection model for IoT security using decision tree and gradient boosting
M Douiba, S Benkirane, A Guezzaz… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) represents a massive deployment of connected, intelligent
devices that communicate directly in private, public, and professional environments without …
devices that communicate directly in private, public, and professional environments without …
lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …
A smart city idea necessitates the integration of information and communication …
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 …
An ensemble learning based intrusion detection model for industrial IoT security
M Mohy-Eddine, A Guezzaz… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …
[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things
S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
Cloud-based intrusion detection approach using machine learning techniques
H Attou, A Guezzaz, S Benkirane… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Cloud computing (CC) is a novel technology that has made it easier to access network and
computer resources on demand such as storage and data management services. In …
computer resources on demand such as storage and data management services. In …
[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
FSCB-IDS: Feature selection and minority class balancing for attacks detection in VANETS
Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …