[HTML][HTML] A new perspective towards the development of robust data-driven intrusion detection for industrial control systems
A Ayodeji, Y Liu, N Chao, L Yang - Nuclear engineering and technology, 2020 - Elsevier
Most of the machine learning-based intrusion detection tools developed for Industrial
Control Systems (ICS) are trained on network packet captures, and they rely on monitoring …
Control Systems (ICS) are trained on network packet captures, and they rely on monitoring …
A three-tiered intrusion detection system for industrial control systems
This article presents three-tiered intrusion detection systems, which uses a supervised
approach to detect cyber-attacks in industrial control systems networks. The proposed …
approach to detect cyber-attacks in industrial control systems networks. The proposed …
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 …
Towards learning normality for anomaly detection in industrial control networks
F Schuster, A Paul, H König - IFIP International Conference on …, 2013 - Springer
Recent trends in automation technology lead to a rising exposition of industrial control
systems (ICS) to new vulnerabilities. This requires the introduction of proper security …
systems (ICS) to new vulnerabilities. This requires the introduction of proper security …
Anomaly detection dataset for industrial control systems
Over the past few decades, Industrial Control Systems (ICS) have been targeted by
cyberattacks and are becoming increasingly vulnerable as more ICSs are connected to the …
cyberattacks and are becoming increasingly vulnerable as more ICSs are connected to the …
Efficient behaviour specification and bidirectional gated recurrent units‐based intrusion detection method for industrial control systems
Intrusion detection is a prevailing area of research for several years, and numerous intrusion
detection systems have been proposed for industrial control systems (ICS). In recent ages …
detection systems have been proposed for industrial control systems (ICS). In recent ages …
[HTML][HTML] Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation
Gradual increase in the number of successful attacks against Industrial Control Systems
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …
A clustering approach to industrial network intrusion detection
L Tomlin Jr, MR Farnam, S Pan - 2016 - louis.uah.edu
Industrial control system (ICS) networks and supervisory control and data acquisition
(SCADA) system networks are less likely to be within a strict closed network environment …
(SCADA) system networks are less likely to be within a strict closed network environment …
A false sense of security? Revisiting the state of machine learning-based industrial intrusion detection
Anomaly-based intrusion detection promises to detect novel or unknown attacks on
industrial control systems by modeling expected system behavior and raising corresponding …
industrial control systems by modeling expected system behavior and raising corresponding …
Better safe than sorry: Risk Management based on a safety-augmented Network Intrusion Detection System
Interconnected industrial control system (ICS) networks based on routable protocols are
susceptible to remote attacks similar to classical information technology (IT) networks …
susceptible to remote attacks similar to classical information technology (IT) networks …