[HTML][HTML] SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues
M Alanazi, A Mahmood, MJM Chowdhury - Computers & security, 2023 - Elsevier
Supervisory control and data acquisition (SCADA) serves as the backbone of several critical
infrastructures, including water supply systems, oil pipelines, transportation and electricity. It …
infrastructures, including water supply systems, oil pipelines, transportation and electricity. It …
A review of machine learning approaches to power system security and stability
Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …
importantly, the integrations of various monitoring, measuring and communication …
X-IIoTID: A connectivity-agnostic and device-agnostic intrusion data set for industrial Internet of Things
M Al-Hawawreh, E Sitnikova… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is a high-value cyber target due to the nature of the
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
Abstract Supervisory Control and Data Acquisition (SCADA) systems supervise and monitor
critical infrastructures and industrial processes. However, SCADA systems running on …
critical infrastructures and industrial processes. However, SCADA systems running on …
[HTML][HTML] Proposed algorithm for smart grid DDoS detection based on deep learning
SY Diaba, M Elmusrati - Neural Networks, 2023 - Elsevier
Abstract The Smart Grid's objective is to increase the electric grid's dependability, security,
and efficiency through extensive digital information and control technology deployment. As a …
and efficiency through extensive digital information and control technology deployment. As a …
Cyber security for fog-based smart grid SCADA systems: Solutions and challenges
This paper presents a comprehensive survey of existing cyber security solutions for fog-
based smart grid SCADA systems. We start by providing an overview of the architecture and …
based smart grid SCADA systems. We start by providing an overview of the architecture and …
[HTML][HTML] Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks
U AlHaddad, A Basuhail, M Khemakhem, FE Eassa… - Sensors, 2023 - mdpi.com
The Smart Grid aims to enhance the electric grid's reliability, safety, and efficiency by
utilizing digital information and control technologies. Real-time analysis and state estimation …
utilizing digital information and control technologies. Real-time analysis and state estimation …
[HTML][HTML] Industrial cyber-physical systems protection: A methodological review
R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …
An adaptive trust boundary protection for IIoT networks using deep-learning feature-extraction-based semisupervised model
The rapid development of Internet of Things (IoT) platforms provides the industrial domain
with many critical solutions, such as joint venture virtual production systems. However, the …
with many critical solutions, such as joint venture virtual production systems. However, the …
[HTML][HTML] 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 …