Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
With the emergence of the Industrial Internet of Things (IIoT), potential threats to smart
manufacturing systems are increasingly becoming challenging, causing severe damage to …
manufacturing systems are increasingly becoming challenging, causing severe damage to …
Federated learning-based explainable anomaly detection for industrial control systems
We are now witnessing the rapid growth of advanced technologies and their application,
leading to Smart Manufacturing (SM). The Internet of Things (IoT) is one of the main …
leading to Smart Manufacturing (SM). The Internet of Things (IoT) is one of the main …
Enhancing Critical Infrastructure Security: Unsupervised Learning Approaches for Anomaly Detection
A Pinto, LC Herrera, Y Donoso, JA Gutierrez - International Journal of …, 2024 - Springer
Traditional security detection methods face challenges in identifying zero-day attacks in
critical infrastructures (CIs) integrated with the industrial internet of things (IIoT). These …
critical infrastructures (CIs) integrated with the industrial internet of things (IIoT). These …
[HTML][HTML] SUSAN: A Deep Learning based anomaly detection framework for sustainable industry
Nowadays, sustainability is the core of green technologies, being a critical aspect in many
industries concerned with reducing carbon emissions and energy consumption optimization …
industries concerned with reducing carbon emissions and energy consumption optimization …
Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques
Intrusion detection in industrial control systems (ICS) is crucial for maintaining secu rity in
modern industries. However, the rapid growth of data generated from various sources …
modern industries. However, the rapid growth of data generated from various sources …
Can industrial intrusion detection be simple?
Cyberattacks against industrial control systems pose a serious risk to the safety of humans
and the environment. Industrial intrusion detection systems oppose this threat by …
and the environment. Industrial intrusion detection systems oppose this threat by …
AI for cyberbiosecurity in water systems—A survey
Abstract The use of Artificial Intelligence (AI) is growing in areas where decisions and
consequences have high-stakes such as larger scale software, critical infrastructure, and …
consequences have high-stakes such as larger scale software, critical infrastructure, and …
Cyber attack prevention based on evolutionary cybernetics approach
The paper looks at the problem of cybersecurity in modern cyber–physical systems and
proposes an evolutionary model approach to counteract cyber attacks by self-regulating the …
proposes an evolutionary model approach to counteract cyber attacks by self-regulating the …
Application perspective on cybersecurity testbed for industrial control systems
O Pospisil, P Blazek, K Kuchar, R Fujdiak, J Misurec - Sensors, 2021 - mdpi.com
In recent years, the Industry 4.0 paradigm has accelerated the digitalization process of the
industry, and it slowly diminishes the line between information technologies (IT) and …
industry, and it slowly diminishes the line between information technologies (IT) and …
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 …