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 …

[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 …

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 …

FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks

WI Khedr, AE Gouda, ER Mohamed - IEEE Access, 2023 - ieeexplore.ieee.org
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …

[PDF][PDF] Anomaly Detection for Industrial Internet of Things Cyberattacks.

R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …

Toward an intrusion detection model for IoT-based smart environments

C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …

Anomaly-based intrusion detection system in IoT using kernel extreme learning machine

S Bacha, A Aljuhani, KB Abdellafou, O Taouali… - Journal of Ambient …, 2024 - Springer
Abstract The Internet of Things (IoT) has developed rapidly and been integrated with a
variety of domains. Such a technology allows devices to send, receive, and process data …

[HTML][HTML] Fcnn-se: An intrusion detection model based on a fusion CNN and stacked ensemble

C Chen, Y Song, S Yue, X Xu, L Zhou, Q Lv, L Yang - Applied Sciences, 2022 - mdpi.com
As a security defense technique to protect networks from attacks, a network intrusion
detection model plays a crucial role in the security of computer systems and networks …

Anomaly Detection Framework in Fog-to-Things Communication for Industrial Internet of Things.

T Alatawi, A Aljuhani - Computers, Materials & Continua, 2022 - search.ebscohost.com
The rapid development of the Internet of Things (IoT) in the industrial domain has led to the
new term the Industrial Internet of Things (IIoT). The IIoT includes several devices …

[HTML][HTML] P4-HLDMC: A novel framework for DDoS and ARP attack detection and mitigation in SD-IoT networks using machine learning, stateful P4, and distributed …

WI Khedr, AE Gouda, ER Mohamed - Mathematics, 2023 - mdpi.com
Distributed Denial of Service (DDoS) and Address Resolution Protocol (ARP) attacks pose
significant threats to the security of Software-Defined Internet of Things (SD-IoT) networks …