A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
Anomaly detection in industrial control and cyber-physical systems has gained much
attention over the past years due to the increasing modernisation and exposure of industrial …
attention over the past years due to the increasing modernisation and exposure of industrial …
CNN based method for the development of cyber-attacks detection algorithms in industrial control systems
Extensive communication between smart devices in contemporary Industrial Control
Systems (ICS) opens up a vast area for different cyber-attacks and malicious threats. The …
Systems (ICS) opens up a vast area for different cyber-attacks and malicious threats. The …
Toward detection and attribution of cyber-attacks in IoT-enabled cyber–physical systems
Securing Internet-of-Things (IoT)-enabled cyber-physical systems (CPS) can be challenging,
as security solutions developed for general information/operational technology (IT/OT) …
as security solutions developed for general information/operational technology (IT/OT) …
Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems
Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …
A new explainable deep learning framework for cyber threat discovery in industrial IoT networks
Industrial Internet of Things (IIoT) and Industry 4.0 empower interrelation among
manufacturing processes, industrial machines, and utility services. The time-critical data …
manufacturing processes, industrial machines, and utility services. The time-critical data …
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 …
Industrial and critical infrastructure security: Technical analysis of real-life security incidents
Critical infrastructures and industrial organizations aggressively move towards integrating
elements of modern Information Technology (IT) into their monolithic Operational …
elements of modern Information Technology (IT) into their monolithic Operational …
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …
in diverse applications, including critical infrastructure. While the increasing number of IIoT …