[HTML][HTML] 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 …

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 …

[HTML][HTML] A review of research works on supervised learning algorithms for SCADA intrusion detection and classification

OA Alimi, K Ouahada, AM Abu-Mahfouz, S Rimer… - Sustainability, 2021 - mdpi.com
Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …

SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection

LAC Ahakonye, CI Nwakanma, JM Lee, DS Kim - Internet of Things, 2023 - Elsevier
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …

Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system

LAC Ahakonye, CI Nwakanma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The pervasiveness in the Industrial Internet of Things (IIoT) due to the application of
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …

Detection of malicious SCADA communications via multi-subspace feature selection

E Hallaji, R Razavi-Far, M Saif - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Security maintenance of Supervisory Control and Data Acquisition (SCADA) systems has
been a point of interest during recent years. Numerous research works have been dedicated …

Improving intrusion detection in SCADA systems using stacking ensemble of tree-based models

DD Nguyen, MT Le, TL Cung - Bulletin of Electrical Engineering and …, 2022 - beei.org
This paper introduces a stacking ensemble model, which combines three single models, to
improve intrusion detection in supervisory control and data acquisition (SCADA) systems …

Efficient classification of enciphered SCADA network traffic in smart factory using decision tree algorithm

LAC Ahakonye, CI Nwakanma, JM Lee, DS Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …

Attack detection and prevention in IoT-SCADA networks using NK-classifier

Y Justindhas, P Jeyanthi - Soft Computing, 2022 - Springer
Supervisory control and data acquisition (SCADA) stands as a control system consisting of
computers and networked data communications. At present, many industries use SCADA to …

A security model for smart grid SCADA systems using stochastic neural network

OBJ Rabie, S Selvarajan, D Alghazzawi… - IET Generation …, 2023 - Wiley Online Library
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 …