DDoS attacks in Industrial IoT: A survey

S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …

Clustered federated learning with adaptive local differential privacy on heterogeneous iot data

Z He, L Wang, Z Cai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many aspects of our daily life with the proliferation
of artificial intelligence applications. Federated learning (FL) has emerged as a promising …

MAGRU-IDS: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks

S Ullah, W Boulila, A Koubaa, J Ahmad - IEEE Access, 2023 - ieeexplore.ieee.org
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …

Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …

Intrusion detection based on ensemble learning for big data classification

F Jemili, R Meddeb, O Korbaa - Cluster Computing, 2024 - Springer
The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …

Malicious detection model with artificial neural network in IoT-based smart farming security

M Mohy-eddine, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) tunes modern technologies, including wireless sensors
and cloud computing, to create a homogeneous and highly effective environment. Therefore …

Explainable and Data-Efficient Deep Learning for Enhanced Attack Detection in IIoT Ecosystem

D Attique, W Hao, W Ping, D Javeed… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is rapidly evolving, and with this evolution, cyber
threats have become a significant issue. IIoT networks, despite improving service quality, are …

Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection

Z Jiang, J Li, Q Hu, WZ Meng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Network Intrusion Detection Systems (NIDSs) have emerged as a frontline defense against
potential attacks in wireless Internet of Things (IoT) networks. However, existing machine …

Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things

YA Maz, M Anbar, S Manickam, SDA Rihan… - IEEE …, 2024 - ieeexplore.ieee.org
An intrusion attack on the Internet of Things (IoT) is any malicious activity or unauthorized
access that jeopardizes the integrity and security of IoT systems, networks, or devices …

A consistent augmented stacking polynomial optimized tool (ASPOT) for improving security of cloud-IoT systems

D Ramachandran, R Chithambaramani… - … in Applied Sciences …, 2024 - semarakilmu.com.my
The cloud computing transforms information technology by offering end users simulated,
flexible resources on demand that require fewer resources and facilities giving them greater …