Super learner ensemble for anomaly detection and cyber-risk quantification in industrial control systems

G Ahmadi-Assalemi, H Al-Khateeb… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Industrial control systems (ICSs) are integral parts of smart cities and critical to modern
societies. Despite indisputable opportunities introduced by disruptor technologies, they …

Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach

TT Huong, TP Bac, DM Long, TD Luong, NM Dan… - Computers in …, 2021 - Elsevier
In recent years, the rapid development and wide application of advanced technologies have
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …

An improved autoencoder-based approach for anomaly detection in industrial control systems

MM Aslam, A Tufail, LC De Silva… - Systems Science & …, 2024 - Taylor & Francis
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 …

AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems

M Abdelaty, R Doriguzzi-Corin, D Siracusa - … and Communications Security …, 2020 - Springer
Abstract Deep Neural Networks are emerging as effective techniques to detect sophisticated
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 …

Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2024 - mdpi.com
The swift embrace of Industry 4.0 paradigms has led to the growing convergence of
Information Technology (IT) networks and Operational Technology (OT) networks …

SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry

ÁL Perales Gómez, L Fernández Maimó… - Software: Practice …, 2021 - Wiley Online Library
Industrial control systems (ICS) are considered cyber‐physical systems that join both cyber
and physical worlds. Due to their tight interaction, where humans and robots co‐work and co …

Deep learning-based cyber–physical feature fusion for anomaly detection in industrial control systems

Y Du, Y Huang, G Wan, P He - Mathematics, 2022 - mdpi.com
In this paper, we propose an unsupervised anomaly detection method based on the
Autoencoder with Long Short-Term Memory (LSTM-Autoencoder) network and Generative …

Anomaly detection for industrial control system based on autoencoder neural network

C Wang, B Wang, H Liu, H Qu - Wireless Communications and …, 2020 - Wiley Online Library
As the Industrial Internet of Things (IIoT) develops rapidly, cloud computing and fog
computing become effective measures to solve some problems, eg, limited computing …

ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications

BR Konatham, T Simra, A Ghimire… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) uses intelligent sensors and actuators, etc., to facilitate
the application of IoT in different industries. This paper presents a comparative analysis …