[HTML][HTML] A Multi-Model Proposal for Classification and Detection of DDoS Attacks on SCADA Systems
Industrial automation and control systems have gained increasing attention in the literature
recently. Their integration with various systems has triggered considerable developments in …
recently. Their integration with various systems has triggered considerable developments in …
Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline …
A Choubineh, DA Wood, Z Choubineh - International Journal of Critical …, 2020 - Elsevier
Critical infrastructure, including refineries, pipelines and power grids are routinely monitored
by supervisory control and data acquisition (SCADA) systems. The information exchange …
by supervisory control and data acquisition (SCADA) systems. The information exchange …
A review of intrusion detection systems for industrial control systems
Industrial Control Systems are found often in industrial sectors and critical infrastructures to
monitor and control industrial processes. Recently, the security of industrial control systems …
monitor and control industrial processes. Recently, the security of industrial control systems …
Intrusion detection in SCADA based power grids: Recursive feature elimination model with majority vote ensemble algorithm
D Upadhyay, J Manero, M Zaman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose an integrated framework for an intrusion detection system for SCADA
(Supervisory Control and Data Acquisition)-based power grids. Our scheme combines RFE …
(Supervisory Control and Data Acquisition)-based power grids. Our scheme combines RFE …
Mining of intrusion attack in SCADA network using clustering and genetically seeded flora‐based optimal classification algorithm
S Selvarajan, M Shaik, S Ameerjohn… - IET Information …, 2020 - Wiley Online Library
The applications such as the remote communication and the control system are in critically
integrated arrangement. The controlling of these network is specified by supervisory control …
integrated arrangement. The controlling of these network is specified by supervisory control …
[HTML][HTML] SCADA securing system using deep learning to prevent cyber infiltration
Abstract Supervisory Control and Data Acquisition (SCADA) systems are computer-based
control architectures specifically engineered for the operation of industrial machinery via …
control architectures specifically engineered for the operation of industrial machinery via …
Multiattribute SCADA-specific intrusion detection system for power networks
The increased interconnectivity and complexity of supervisory control and data acquisition
(SCADA) systems in power system networks has exposed the systems to a multitude of …
(SCADA) systems in power system networks has exposed the systems to a multitude of …
[HTML][HTML] A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems
Abstract Presently, Supervisory Control and Data Acquisition (SCADA) systems are broadly
adopted in remote monitoring large-scale production systems and modern power grids …
adopted in remote monitoring large-scale production systems and modern power grids …
-norms in One-Class Classification for Intrusion Detection in SCADA Systems
The massive use of information and communication technologies in supervisory control and
data acquisition (SCADA) systems opens new ways for carrying out cyberattacks against …
data acquisition (SCADA) systems opens new ways for carrying out cyberattacks against …
Cyber-attacks detection in industrial systems using artificial intelligence-driven methods
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 …
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …