Machine learning applications for anomaly detection in Smart Water Metering Networks: A systematic review
MN Kanyama, FB Shava, AM Gamundani… - … of the Earth, Parts A/B/C, 2024 - Elsevier
The digitization of the water sector has led to the emergence of Smart Water Metering
Networks (SWMNs), which enable automated and continuous water consumption …
Networks (SWMNs), which enable automated and continuous water consumption …
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) …
Online Model-Free Cyber Attack Detection in Smart Grid Using Dynamic Mode Decomposition
E Mobini, AH Abolmasoumi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Smart grids enhance the power system operation by using the data communication. Such
enhancement calls for accurate cyber security schemes to guarantee the reliability of the …
enhancement calls for accurate cyber security schemes to guarantee the reliability of the …
[HTML][HTML] 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 …