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 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 …

Forget the myth of the air gap: Machine learning for reliable intrusion detection in SCADA systems

RL Perez, F Adamsky, R Soua… - … Transactions on Security …, 2019 - publications.eai.eu
Abstract Since Critical Infrastructures (CIs) use systems and equipment that are separated
by long distances, Supervisory Control And Data Acquisition (SCADA) systems are used to …

Intrusion detection via machine learning for SCADA system protection

SLP Yasakethu, J Jiang - 1st international symposium for ICS & …, 2013 - scienceopen.com
SCADA (Supervisory Control And Data Acquisition) systems have always been susceptible
to cyber-attacks. Different types of cyber-attacks could occur depending on the architecture …

[图书][B] A new scada dataset for intrusion detection research

IP Turnipseed - 2015 - search.proquest.com
Abstract Supervisory Control and Data Acquisition (SCADA) systems monitor and control
industrial control systems in many industrials and economic sectors which are considered …

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 …

Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection

L D'hooge, M Verkerken, T Wauters, F De Turck… - Sensors, 2023 - mdpi.com
Recently proposed methods in intrusion detection are iterating on machine learning
methods as a potential solution. These novel methods are validated on one or more …

DEIDS: a novel intrusion detection system for industrial control systems

H Gu, Y Lai, Y Wang, J Liu, M Sun, B Mao - Neural Computing and …, 2022 - Springer
Owing to the development of industrial production, the hidden danger in industrial control
systems (ICSs) has considerably increased, causing challenges in traditional safety defense …

A survey on industrial control system testbeds and datasets for security research

M Conti, D Donadel, F Turrin - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …