A review of research works on supervised learning algorithms for SCADA intrusion detection and classification
Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …
providing remote access, monitoring and control of critical infrastructures (CIs) which …
[HTML][HTML] A hybrid methodology for anomaly detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Neurocomputing, 2024 - Elsevier
The rapid adoption of Industry 4.0 has seen Information Technology (IT) networks
increasingly merged with Operational Technology (OT) networks, which have traditionally …
increasingly merged with Operational Technology (OT) networks, which have traditionally …
An enriched RPCO-BCNN mechanisms for attack detection and classification in SCADA systems
S Shitharth, KM Prasad, K Sangeetha… - IEEE …, 2021 - ieeexplore.ieee.org
Providing security to the Supervisory Control and Data Acquisition (SCADA) systems is one
of the demanding and crucial tasks in recent days, due to the different types of attacks on the …
of the demanding and crucial tasks in recent days, due to the different types of attacks on the …
A classy multifacet clustering and fused optimization based classification methodologies for SCADA security
AO Khadidos, H Manoharan, S Selvarajan… - Energies, 2022 - mdpi.com
Detecting intrusions from the supervisory control and data acquisition (SCADA) systems is
one of the most essential and challenging processes in recent times. Most of the …
one of the most essential and challenging processes in recent times. Most of the …
Analysis of anomaly detection approaches performed through deep learning methods in SCADA systems
Supervisory control and data acquisition (SCADA) systems are used with monitoring and
control purposes for the process not to fail in industrial control systems. Today, the increase …
control purposes for the process not to fail in industrial control systems. Today, the increase …
Towards SCADA threat intelligence based on intrusion detection systems-a short review
Securing and protecting Supervisory Control and Data Acquisition (SCADA) systems have
been an active topic of research for the past decades due to the catastrophic and disastrous …
been an active topic of research for the past decades due to the catastrophic and disastrous …
A security model for smart grid SCADA systems using stochastic neural network
Detection of cyber‐threats in the smart grid Supervisory Control and Data Acquisition
(SCADA) is still remains one of the complex and essential processes need to be highly …
(SCADA) is still remains one of the complex and essential processes need to be highly …
Industrial Internet intrusion detection based on Res-CNN-SRU
Z Cai, Y Si, J Zhang, L Zhu, P Li, Y Feng - Electronics, 2023 - mdpi.com
Nowadays, the industrial Internet is developing rapidly, but at the same time it faces serious
information security risks. At present, industrial Internet data generally have the problems of …
information security risks. At present, industrial Internet data generally have the problems of …
One-Dimensional Convolutional Wasserstein Generative Adversarial Network Based Intrusion Detection Method for Industrial Control Systems
Z Cai, H Du, H Wang, J Zhang, Y Si, P Li - Electronics, 2023 - mdpi.com
The imbalance between normal and attack samples in the industrial control systems (ICSs)
network environment leads to the low recognition rate of the intrusion detection model for a …
network environment leads to the low recognition rate of the intrusion detection model for a …
EA-GAT: Event aware graph attention network on cyber-physical systems
MY Yağci, MA Aydin - Computers in Industry, 2024 - Elsevier
Anomaly detection with high accuracy, recall, and low error rate is critical for the safe and
uninterrupted operation of cyber-physical systems. However, detecting anomalies in …
uninterrupted operation of cyber-physical systems. However, detecting anomalies in …