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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 …
Cyber Security for Cyber-Physical Systems in Critical Infrastructures: Bibliometrics Analysis and Future Directions
Cyber–physical systems (CPSs) are being increasingly connected to the physical world,
making them attractive targets for cyber-attacks. The consequences of CPS cyber threats are …
making them attractive targets for cyber-attacks. The consequences of CPS cyber threats are …
Ics anomaly detection based on sensor patterns and actuator rules in spatiotemporal dependency
J Cai, Z Wei, J Luo - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
Data-driven methods, such as deep learning, are widely adopted to detect cyberattacks for
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …
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 …
EA-GAT: Event aware graph attention network on cyber-physical systems
Anomaly detection with high accuracy, recall, and low error rate is critical for the safe and
uninterrupted operation of cyber-physical systems. However, detecting anomalies in …
uninterrupted operation of cyber-physical systems. However, detecting anomalies in …
A causality-inspired approach for anomaly detection in a water treatment testbed
Critical infrastructure, such as water treatment facilities, largely relies on the effective
functioning of industrial control systems (ICSs). Due to the wide adoption of high-speed …
functioning of industrial control systems (ICSs). Due to the wide adoption of high-speed …
Autoencoder via DCNN and LSTM models for intrusion detection in industrial control systems of critical infrastructures
Industrial Control Systems (ICS) are widely used to carry out the fundamental functions of a
society and are frequently employed in Critical Infrastructures (CIs). Consequently …
society and are frequently employed in Critical Infrastructures (CIs). Consequently …
Fusing design and machine learning for anomaly detection in water treatment plants
Accurate detection of process anomalies is crucial for maintaining reliable operations in
critical infrastructures such as water treatment plants. Traditional methods for creating …
critical infrastructures such as water treatment plants. Traditional methods for creating …
A novel cnn-lstm fusion-based intrusion detection method for industrial internet
Industrial internet security incidents occur frequently, and it is very important to accurately
and effectively detect industrial internet attacks. In this paper, a novel CNN-LSTM fusion …
and effectively detect industrial internet attacks. In this paper, a novel CNN-LSTM fusion …
[HTML][HTML] Dynamic Data Abstraction-Based Anomaly Detection for Industrial Control Systems
Industrial control systems (ICS) are critical networks directly linked to the value of core
national and societal assets, yet they are increasingly becoming primary targets for …
national and societal assets, yet they are increasingly becoming primary targets for …