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 …
A review of federated learning in intrusion detection systems for iot
Intrusion detection systems are evolving into intelligent systems that perform data analysis
searching for anomalies in their environment. The development of deep learning …
searching for anomalies in their environment. The development of deep learning …
Federated-learning-based anomaly detection for IoT security attacks
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
A unified deep learning anomaly detection and classification approach for smart grid environments
The interconnected and heterogeneous nature of the next-generation Electrical Grid (EG),
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
An ensemble of deep recurrent neural networks for detecting IoT cyber attacks using network traffic
Internet-of-Things (IoT) devices and systems will be increasingly targeted by cybercriminals
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
[HTML][HTML] Adversarial attacks on machine learning cybersecurity defences in industrial control systems
The proliferation and application of machine learning-based Intrusion Detection Systems
(IDS) have allowed for more flexibility and efficiency in the automated detection of cyber …
(IDS) have allowed for more flexibility and efficiency in the automated detection of cyber …
Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
Anomaly detection in industrial control and cyber-physical systems has gained much
attention over the past years due to the increasing modernisation and exposure of industrial …
attention over the past years due to the increasing modernisation and exposure of industrial …
[HTML][HTML] A new perspective towards the development of robust data-driven intrusion detection for industrial control systems
A Ayodeji, Y Liu, N Chao, L Yang - Nuclear engineering and technology, 2020 - Elsevier
Most of the machine learning-based intrusion detection tools developed for Industrial
Control Systems (ICS) are trained on network packet captures, and they rely on monitoring …
Control Systems (ICS) are trained on network packet captures, and they rely on monitoring …
Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset
With the rise in smart devices, the Internet of Things (IoT) has been established as one of the
preferred emerging platforms to fulfil their need for simple interconnections. The use of …
preferred emerging platforms to fulfil their need for simple interconnections. The use of …
A data trading scheme with efficient data usage control for industrial IoT
The development of Industrial Internet of Things (IIoT) provides massive abundant data
resources for trading and mining. However, the existing data trading schemes achieve data …
resources for trading and mining. However, the existing data trading schemes achieve data …