Comparison of Cascading Effects in Critical Infrastructure Networks based on Simulation

Sandra König (Author and Speaker), Stefan Schauer

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

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.
Original languageAmerican English
Title of host publication14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14)
Number of pages8
Publication statusPublished - 2023
Event 14th International Conference on Applications of Statistics and Probability in Civil Engineering - Trinity College Dublin, Dublin, Ireland
Duration: 9 Jul 202313 Jul 2023
Conference number: 14
https://icasp14.com/

Conference

Conference 14th International Conference on Applications of Statistics and Probability in Civil Engineering
Abbreviated titleICASP14
Country/TerritoryIreland
CityDublin
Period9/07/2313/07/23
Internet address

Research Field

  • Dependable Systems Engineering

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