A systematic survey of industrial Internet of Things security: Requirements and fog computing opportunities
K Tange, M De Donno, X Fafoutis… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
A key application of the Internet of Things (IoT) paradigm lies within industrial contexts.
Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry …
Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
A novel intrusion detection method based on lightweight neural network for internet of things
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …
Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review
M Nuaimi, LC Fourati, BB Hamed - Journal of Network and Computer …, 2023 - Elsevier
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …
Semisupervised federated-learning-based intrusion detection method for internet of things
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
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 …
A systematic review on Deep Learning approaches for IoT security
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
Cybersecurity for Industrial IoT (IIoT): Threats, countermeasures, challenges and future directions
IIoT is evolving as the future of system and process integration across Operations
Technology (OT) and Information Technology (IT). The dynamic nature of OT and IT across …
Technology (OT) and Information Technology (IT). The dynamic nature of OT and IT across …
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 …
devices that compute, communicate with each other, and consist of a vast network. Industrial …
[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 …