| Autor: |
Moraitis, Georgios, Tsoukalas, Ioannis, Kossieris, Panagiotis, Nikolopoulos, Dionysios, Karavokiros, George, Kalogeras, Dimitrios, Makropoulos, Christos |
| Předmět: |
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| Zdroj: |
Environmental Sciences Proceedings; Sep2023, Vol. 21, p18, 8p |
| Abstrakt: |
This study presents an approach for the assessment of cyber-physical threats to water distribution networks under the prism of the uncertainty which stems from the variability and stochastic nature of nodal water demands. The proposed framework investigates a single threat scenario under a spectrum of synthetic, yet realistic, system states which are driven by an ensemble of stochastically generated nodal demands. This Monte Carlo-type experiment enables the probabilistic inference about model outputs, and hence the derivation of probabilistic estimates over consequences. The approach is showcased for a cyber-physical attack scenario against the monitoring and control system of a benchmark network. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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