An ensemble deep learning-based cyber-attack detection in industrial control system

A Al-Abassi, H Karimipour, A Dehghantanha… - Ieee …, 2020 - ieeexplore.ieee.org
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …

Cyber-attacks detection in industrial systems using artificial intelligence-driven methods

W Wang, F Harrou, B Bouyeddou, SM Senouci… - International journal of …, 2022 - Elsevier
Modern industrial systems and critical infrastructures are constantly exposed to malicious
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …

A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems

W Wang, F Harrou, B Bouyeddou, SM Senouci… - Cluster Computing, 2022 - Springer
Abstract Presently, Supervisory Control and Data Acquisition (SCADA) systems are broadly
adopted in remote monitoring large-scale production systems and modern power grids …

Fusion of deep learning based cyberattack detection and classification model for intelligent systems

OA Alzubi, I Qiqieh, JA Alzubi - Cluster Computing, 2023 - Springer
In recent years, the exponential growth of malware has posed a significant security threat to
intelligent systems. Earlier static and dynamic analysis methods fail to achieve effective …

Toward detection and attribution of cyber-attacks in IoT-enabled cyber–physical systems

AN Jahromi, H Karimipour… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Securing Internet-of-Things (IoT)-enabled cyber-physical systems (CPS) can be challenging,
as security solutions developed for general information/operational technology (IT/OT) …

Efficient cyber attack detection in industrial control systems using lightweight neural networks and pca

M Kravchik, A Shabtai - IEEE transactions on dependable and …, 2021 - ieeexplore.ieee.org
Industrial control systems (ICSs) are widely used and vital to industry and society. Their
failure can have severe impact on both the economy and human life. Hence, these systems …

A hybrid deep random neural network for cyberattack detection in the industrial internet of things

ZE Huma, S Latif, J Ahmad, Z Idrees, A Ibrar… - IEEE …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT)
concepts in industrial sectors and applications. IIoT has several applications in smart homes …

Deep learning based attack detection for cyber-physical system cybersecurity: A survey

J Zhang, L Pan, QL Han, C Chen… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …

An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things

MS Mousa'B, MK Hasan, R Sulaiman, S Islam… - IEEE …, 2023 - ieeexplore.ieee.org
Ensuring the security of critical Industrial Internet of Things (IIoT) systems is of utmost
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …

[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 …