Evolutionary deep belief network for cyber-attack detection in industrial automation and control system

KD Lu, GQ Zeng, X Luo, J Weng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industrial automation and control systems (IACS) are tremendously employing supervisory
control and data acquisition (SCADA) network. However, their integration into IACS is …

[HTML][HTML] 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 …

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 …

Detection of cyberattacks in industrial control systems using enhanced principal component analysis and hypergraph-based convolution neural network (EPCA-HG …

K Krithivasan, S Pravinraj, SS VS - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The automated operations of industrial control systems (ICSs) highly rely on the
interconnected devices, sensors, and actuators that are monitored and controlled by the …

TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization

S Sivamohan, SS Sridhar, S Krishnaveni - Peer-to-Peer Networking and …, 2023 - Springer
Industrial cyber-physical systems (CPS) are vulnerable to cyberattacks that can compromise
their operations, safety, and security. Traditional intrusion detection systems are ineffective …

Hybrid honey badger-world cup algorithm-based deep learning for malicious intrusion detection in industrial control systems

S Nagarajan, S Kayalvizhi, R Subhashini… - Computers & Industrial …, 2023 - Elsevier
The security analysis has become the hotspot concern in Industrial Control Systems (ICSs)
that grabs the research attention in today's era. Owing to the rapid admittance of the …

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 …

A generalizable deep neural network method for detecting attacks in industrial cyber-physical systems

J Sakhnini, H Karimipour, A Dehghantanha… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Today's power systems utilize smart technology to improve the efficacy of power distribution.
Using cyber-physical components in the power system such as smart grids can introduce …

Trustworthy and reliable deep-learning-based cyberattack detection in industrial iot

F Khan, R Alturki, MA Rahman… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
A fundamental expectation of the stakeholders from the Industrial Internet of Things (IIoT) is
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …

Efficient classification of enciphered SCADA network traffic in smart factory using decision tree algorithm

LAC Ahakonye, CI Nwakanma, JM Lee, DS Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …