TIDCS: A dynamic intrusion detection and classification system based feature selection
Machine learning techniques are becoming mainstream in intrusion detection systems as
they allow real-time response and have the ability to learn and adapt. By using a …
they allow real-time response and have the ability to learn and adapt. By using a …
Deep-learning-based network intrusion detection for SCADA systems
Supervisory Control and Data Acquisition (SCADA) networks are widely deployed in modern
industrial control systems (ICSs) such as energy-delivery systems. As an increasing number …
industrial control systems (ICSs) such as energy-delivery systems. As an increasing number …
Multidimensional intrusion detection system for IEC 61850-based SCADA networks
Y Yang, HQ Xu, L Gao, YB Yuan… - … on Power Delivery, 2016 - ieeexplore.ieee.org
Emerging cybersecurity vulnerabilities in supervisory control and data acquisition (SCADA)
systems are becoming urgent engineering issues for modern substations. This paper …
systems are becoming urgent engineering issues for modern substations. This paper …
SCADA intrusion detection system based on temporal behavior of frequent patterns
The vital role Supervisory Control And Data Acquisition (SCADA) systems play in controlling
the modern infrastructure; along with the rapid evolution of these systems have turned them …
the modern infrastructure; along with the rapid evolution of these systems have turned them …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection
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 …
methods as a potential solution. These novel methods are validated on one or more …
IDS detection based on optimization based on WI-CS and GNN algorithm in SCADA network
Industry control systems (ICS) are considered as one of the inevitable systems in this
contemporary smart world. In that supervisory control and data acquisition (SCADA) is the …
contemporary smart world. In that supervisory control and data acquisition (SCADA) is the …
Securing industrial control systems: components, cyber threats, and machine learning-driven defense strategies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
Assessing machine learning techniques for intrusion detection in cyber-physical systems
Cyber-physical systems (CPS) are vital to key infrastructures such as Smart Grids and water
treatment, and are increasingly vulnerable to a broad spectrum of evolving attacks. Whereas …
treatment, and are increasingly vulnerable to a broad spectrum of evolving attacks. Whereas …
Enhancing Suricata intrusion detection system for cyber security in SCADA networks
K Wong, C Dillabaugh, N Seddigh… - 2017 IEEE 30th …, 2017 - ieeexplore.ieee.org
Industrial Control and SCADA (Supervisory Control and Data Acquisition) networks control
critical infrastructure such as power plants, nuclear facilities, and water supply systems …
critical infrastructure such as power plants, nuclear facilities, and water supply systems …