Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure

A Pinto, LC Herrera, Y Donoso, JA Gutierrez - Sensors, 2023 - mdpi.com
Industrial control systems (ICSs), supervisory control and data acquisition (SCADA) systems,
and distributed control systems (DCSs) are fundamental components of critical infrastructure …

Cyber-attacks detection in industrial systems using artificial intelligence-driven methods

W Wang, F Harrou, B Bouyeddou, SM Senouci… - International journal of …, 2022 - Elsevier
Modern industrial systems and critical infrastructures are constantly exposed to malicious
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges

AMY Koay, RKL Ko, H Hettema, K Radke - Journal of Intelligent …, 2023 - Springer
The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …

A review on machine learning based security approaches in intrusion detection system

DNP Suthishni, KSS Kumar - 2022 9th International …, 2022 - ieeexplore.ieee.org
The rapid growth and advances in communication and Internet technologies result in
efficient business transactions, communications as well as collaborations. However, this …

A review on challenges and future research directions for machine learning-based intrusion detection system

A Thakkar, R Lohiya - Archives of Computational Methods in Engineering, 2023 - Springer
Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …

Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system

LAC Ahakonye, CI Nwakanma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The pervasiveness in the Industrial Internet of Things (IIoT) due to the application of
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …

[HTML][HTML] Adaptive anomaly detection system based on machine learning algorithms in an industrial control environment

J Vávra, M Hromada, L Lukáš, J Dworzecki - International Journal of …, 2021 - Elsevier
Technology has become an integral part of contemporary society. The current transition from
an industrial society to an information society is accompanied by the implementation of new …

Intrusion detection based on machine learning techniques in computer networks

AS Dina, D Manivannan - Internet of Things, 2021 - Elsevier
Intrusions in computer networks have increased significantly in the last decade, due in part
to a profitable underground cyber-crime economy and the availability of sophisticated tools …

A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy

A Momand, SU Jan, N Ramzan - Journal of Sensors, 2023 - Wiley Online Library
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …

[HTML][HTML] A comprehensive review of AI based intrusion detection system

T Sowmya, EAM Anita - Measurement: Sensors, 2023 - Elsevier
In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …