A host-based intrusion detection model based on OS diversity for SCADA

BB Bulle, AO Santin, EK Viegas… - IECON 2020 the 46th …, 2020 - ieeexplore.ieee.org
Supervisory Control and Data Acquisition (SCADA) systems have been a frequent target of
cyberattacks in Industrial Control Systems (ICS). As such systems are a frequent target of …

A review of research work on network-based scada intrusion detection systems

SVB Rakas, MD Stojanović… - IEEE Access, 2020 - ieeexplore.ieee.org
Specific intrusion detection systems (IDSs) are needed to secure modern supervisory control
and data acquisition (SCADA) systems due to their architecture, stringent real-time …

Flow‐based intrusion detection algorithm for supervisory control and data acquisition systems: A real‐time approach

MA Teixeira, M Zolanvari, KM Khan… - IET Cyber‐Physical …, 2021 - Wiley Online Library
Intrusion detection in supervisory control and data acquisition (SCADA) systems is integral
because of the critical roles of these systems in industries. However, available approaches …

Intrusion detection in SCADA system: A survey

P Zeng, P Zhou - Intelligent Computing and Internet of Things: First …, 2018 - Springer
Nowadays, the industrial systems are more and more interconnected with the outside world.
However, the interconnection of Supervisory Control and Data Acquisition (SCADA) systems …

A taxonomy of supervised learning for idss in scada environments

J Suaboot, A Fahad, Z Tari, J Grundy… - ACM Computing …, 2020 - dl.acm.org
Supervisory Control and Data Acquisition (SCADA) systems play an important role in
monitoring industrial processes such as electric power distribution, transport systems, water …

A review of intrusion detection systems for industrial control systems

M Kaouk, JM Flaus, ML Potet… - 2019 6th International …, 2019 - ieeexplore.ieee.org
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 …

Leveraging Deep Reinforcement Learning Technique for Intrusion Detection in SCADA Infrastructure

F Mesadieu, D Torre, A Chennameneni - IEEE Access, 2024 - ieeexplore.ieee.org
The prevalence of cyber-attacks perpetrated over the last two decades, including
coordinated attempts to breach targeted organizations, has drastically and systematically …

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 …

An explainable and resilient intrusion detection system for industry 5.0

D Javeed, T Gao, P Kumar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Industry 5.0 is a emerging transformative model that aims to develop a hyperconnected,
automated, and data-driven industrial ecosystem. This digital transformation will boost …

HML-IDS: A hybrid-multilevel anomaly prediction approach for intrusion detection in SCADA systems

IA Khan, D Pi, ZU Khan, Y Hussain, A Nawaz - IEEE Access, 2019 - ieeexplore.ieee.org
Critical infrastructures, eg, electricity generation and dispersal networks, chemical
processing plants, and gas distribution, are governed and monitored by supervisory control …