Combining Physical and Network Data for Attack Detection in Water Distribution Networks
Author:
Affiliation:
1. ICube—Laboratoire des Sciences de L’ingénieur, de L’informatique et de L’imagerie UMR 7357, Université de Strasbourg, 67000 Strasbourg, France
2. Laboratoire de Recherche de l’EPITA, EPITA, 94270 Le Kremlin-Bicêtre, France
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/69/1/118/pdf
Reference5 articles.
1. Tuptuk, N., Hazell, P., Watson, J., and Hailes, S. (2021). A Systematic Review of the State of Cyber-Security in Water Systems. Water, 13.
2. A Review on Security Analysis of Cyber Physical Systems Using Machine Learning;Konev;Mater. Today Proc.,2023
3. A Hybrid Behavior- and Bayesian Network-Based Framework for Cyber–Physical Anomaly Detection;Faramondi;Comput. Electr. Eng.,2023
4. A Hardware-in-the-Loop Water Distribution Testbed Dataset for Cyber-Physical Security Testing;Faramondi;IEEE Access,2021
5. Alarm Fatigue and Its Influence on Staff Performance;Deb;IIE Trans. Healthc. Syst. Eng.,2015
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