An improved autoencoder-based approach for anomaly detection in industrial control systems
Security is a complex issue in critical infrastructure like industrial control systems (ICS) since
its leakages cause critical damage. Protecting the ICS environment from external threats …
its leakages cause critical damage. Protecting the ICS environment from external threats …
AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems
Abstract Deep Neural Networks are emerging as effective techniques to detect sophisticated
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …
Anomaly detection for industrial control systems using k-means and convolutional autoencoder
CP Chang, WC Hsu, IE Liao - 2019 International Conference …, 2019 - ieeexplore.ieee.org
With the rise of Internet of Things technology and smart manufacturing, the issues of cyber
security in industrial control systems (ICS) have become of great concern. Critical …
security in industrial control systems (ICS) have become of great concern. Critical …
Explainable anomaly detection for industrial control system cybersecurity
Abstract Industrial Control Systems (ICSs) are becoming more and more important in
managing the operation of many important systems in smart manufacturing, such as power …
managing the operation of many important systems in smart manufacturing, such as power …
DAICS: A deep learning solution for anomaly detection in industrial control systems
M Abdelaty, R Doriguzzi-Corin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep Learning is emerging as an effective technique to detect sophisticated cyber-attacks
targeting Industrial Control Systems (ICSs). The conventional detection approach is to learn …
targeting Industrial Control Systems (ICSs). The conventional detection approach is to learn …
Madics: A methodology for anomaly detection in industrial control systems
ÁL Perales Gómez, L Fernández Maimó… - Symmetry, 2020 - mdpi.com
Industrial Control Systems (ICSs) are widely used in critical infrastructures to support the
essential services of society. Therefore, their protection against terrorist activities, natural …
essential services of society. Therefore, their protection against terrorist activities, natural …
Enhancing industrial control system security: An isolation forest-based anomaly detection model for mitigating cyber threats
In the evolving landscape of industrial control systems (ICS), the sophistication of cyber
threats has necessitated the development of advanced anomaly detection mechanisms to …
threats has necessitated the development of advanced anomaly detection mechanisms to …
Falcon: Framework for anomaly detection in industrial control systems
S Sapkota, AKMN Mehdy, S Reese, H Mehrpouyan - Electronics, 2020 - mdpi.com
Industrial Control Systems (ICS) are used to control physical processes in critical
infrastructure. These systems are used in a wide variety of operations such as water …
infrastructure. These systems are used in a wide variety of operations such as water …
A hybrid physics-based data-driven framework for anomaly detection in industrial control systems
A method referred to as PbNN is proposed to detect cyber-physical attacks through the
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …
Study on anomaly detection technique in an industrial control system based on machine learning
This study proposed an anomaly detection technique in an industrial control system using
supervised and unsupervised machine learning algorithms. For the dataset for learning, the …
supervised and unsupervised machine learning algorithms. For the dataset for learning, the …