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 …

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 …

[PDF][PDF] SCADA-specific intrusion detection/prevention systems: a survey and taxonomy

B Zhu, S Sastry - Proceedings of the 1st workshop on secure …, 2010 - ptolemy.berkeley.edu
Due to standardization and connectivity to the Internet, Supervisory Control and Data
Acquisition (SCADA) systems now face the threat of cyber attacks. SCADA systems were …

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 …

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 …

A testbed for SCADA cyber security and intrusion detection

P Singh, S Garg, V Kumar… - … Conference on Cyber …, 2015 - ieeexplore.ieee.org
Power grid is an important element of the cyber physical systems. Attacks on such
infrastructure may have catastrophic impact and hence the mitigation solutions for the …

Machine learning-based intrusion detection for SCADA systems in healthcare

T Öztürk, Z Turgut, G Akgün, C Köse - Network Modeling Analysis in Health …, 2022 - Springer
Energy distribution systems and cyber-physical systems brought together information
technology, electrical and mechanical engineering in an integrated manner. This cybernetic …

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 systems using one-class classification

P Nader, P Honeine… - 21st European Signal …, 2013 - ieeexplore.ieee.org
Supervisory Control and Data Acquisition (SCADA) systems allow remote monitoring and
control of critical infrastructures such as electrical power grids, gas pipelines, nuclear power …

Intrusion detection in SCADA systems using machine learning techniques

LA Maglaras, J Jiang - 2014 science and information …, 2014 - ieeexplore.ieee.org
In this paper we present a intrusion detection module capable of detecting malicious
network traffic in a SCADA (Supervisory Control and Data Acquisition) system. Malicious …