Comparison of Cascading Effects in Critical Infrastructure Networks based on Simulation

Sandra König (Autor:in und Vortragende:r), Stefan Schauer

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Assessing impacts of threats to critical infrastructures is challenging due to the high complexity. Using probabilistic simulations seems adequate to capture the uncertainty but makes it at the same time more challenging to compare different situations. Such comparison is particularly important when actions for improved protection are considered. We here propose a simulation that gives a probability distribution over a (finite) set of states and to compare the probability distributions in such a way that actions with lower chance of worst-case damage are preferred. The approach is illustrated with data from the H2020 project PRECINCT where the impact of a flooding on a city is investigated.
OriginalspracheEnglisch (Amerika)
Titel14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14)
Seiten1-8
PublikationsstatusVeröffentlicht - 2023
Veranstaltung 14th International Conference on Applications of Statistics and Probability in Civil Engineering - Trinity College Dublin, Dublin, Irland
Dauer: 9 Juli 202313 Juli 2023
Konferenznummer: 14
https://icasp14.com/

Konferenz

Konferenz 14th International Conference on Applications of Statistics and Probability in Civil Engineering
KurztitelICASP14
Land/GebietIrland
StadtDublin
Zeitraum9/07/2313/07/23
Internetadresse

Research Field

  • Dependable Systems Engineering

Fingerprint

Untersuchen Sie die Forschungsthemen von „Comparison of Cascading Effects in Critical Infrastructure Networks based on Simulation“. Zusammen bilden sie einen einzigartigen Fingerprint.

Diese Publikation zitieren