Mitigating cyber security threats of industrial control systems (scada & dcs)

A Lamba, S Singh, S Balvinder, N Dutta… - … , Medical and Science …, 2017 - papers.ssrn.com
Abstract Modern Supervisory Control and Data Acquisition (SCADA) systems are essential
for monitoring and managing electric power generation, transmission and distribution. In the …

[PDF][PDF] An Autoencoder-Based Network Intrusion Detection System for the SCADA System.

M Altaha, JM Lee, M Aslam, S Hong - J. Commun., 2021 - researchgate.net
 The intrusion detection system (IDS) is the main tool to do security monitoring that is one of
the security strategies for the supervisory control and data acquisition (SCADA) system. In …

Assessing and augmenting SCADA cyber security: A survey of techniques

S Nazir, S Patel, D Patel - Computers & Security, 2017 - Elsevier
SCADA systems monitor and control critical infrastructures of national importance such as
power generation and distribution, water supply, transportation networks, and manufacturing …

[PDF][PDF] Anomaly Detection in ICS Datasets with Machine Learning Algorithms.

S Mubarak, MH Habaebi, MR Islam… - … Systems Science & …, 2021 - cdn.techscience.cn
An Intrusion Detection System (IDS) provides a front-line defense mechanism for the
Industrial Control System (ICS) dedicated to keeping the process operations running …

InSDN: A novel SDN intrusion dataset

MS Elsayed, NA Le-Khac, AD Jurcut - IEEE access, 2020 - ieeexplore.ieee.org
Software-Defined Network (SDN) has been developed to reduce network complexity
through control and manage the whole network from a centralized location. Today, SDN is …

MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection …

D Aksu, MA Aydin - Computers & Security, 2022 - Elsevier
Controller area network (CAN) bus which provides efficient, reliable and robust
communication between electronic control units (ECUs) is the most frequently used protocol …

Machine learning for reliable network attack detection in SCADA systems

RL Perez, F Adamsky, R Soua… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Critical Infrastructures (CIs) use Supervisory Control And Data Acquisition (SCADA) systems
for remote control and monitoring. Sophisticated security measures are needed to address …

[HTML][HTML] Advanced feature-selection-based hybrid ensemble learning algorithms for network intrusion detection systems

DN Mhawi, A Aldallal, S Hassan - Symmetry, 2022 - mdpi.com
As cyber-attacks become remarkably sophisticated, effective Intrusion Detection Systems
(IDSs) are needed to monitor computer resources and to provide alerts regarding unusual or …

Omni SCADA intrusion detection using deep learning algorithms

J Gao, L Gan, F Buschendorf, L Zhang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
In this article, we investigate deep-learning-based omni intrusion detection system (IDS) for
supervisory control and data acquisition (SCADA) networks that are capable of detecting …

Intrusion detection systems using supervised machine learning techniques: a survey

EE Abdallah, AF Otoom - Procedia Computer Science, 2022 - Elsevier
In this paper, we investigate the subject of intrusion detection using supervised machine
learning methods. The main goal is to provide a taxonomy for linked intrusion detection …