A survey on industrial control system testbeds and datasets for security research
The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
With the emergence of the Industrial Internet of Things (IIoT), potential threats to smart
manufacturing systems are increasingly becoming challenging, causing severe damage to …
manufacturing systems are increasingly becoming challenging, causing severe damage to …
When deep learning-based soft sensors encounter reliability challenges: a practical knowledge-guided adversarial attack and its defense
Deep learning-based soft sensors (DLSSs) have been demonstrated to exhibit significantly
improved sensing accuracy; however, their vulnerability to adversarial attacks affects their …
improved sensing accuracy; however, their vulnerability to adversarial attacks affects their …
A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems
Cybersecurity incident response is a very crucial part of the cybersecurity management
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
Human-centred design in industry 4.0: case study review and opportunities for future research
The transition to industry 4.0 has impacted factories, but it also affects the entire value chain.
In this sense, human-centred factors play a core role in transitioning to sustainable …
In this sense, human-centred factors play a core role in transitioning to sustainable …
A review of cybersecurity guidelines for manufacturing factories in industry 4.0
Industry 4.0 is a revolution in manufacturing by introducing disruptive technologies such as
Internet of Things (IoT) and cloud-computing into the heart of the factory. The resulting …
Internet of Things (IoT) and cloud-computing into the heart of the factory. The resulting …
Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks
based on a developed deep neural network (DNN) with a rectified linear unit in order to …
based on a developed deep neural network (DNN) with a rectified linear unit in order to …
Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
Industrial control systems (ICSs), supervisory control and data acquisition (SCADA) systems,
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
[HTML][HTML] Review of electric vehicle charger cybersecurity vulnerabilities, potential impacts, and defenses
Energies | Free Full-Text | Review of Electric Vehicle Charger Cybersecurity Vulnerabilities,
Potential Impacts, and Defenses Next Article in Journal Research on Stress Distribution …
Potential Impacts, and Defenses Next Article in Journal Research on Stress Distribution …