DocumentCode
1767557
Title
Dependencies analysis in emergency scenarios
Author
Setola, Roberto ; Lorusso, Domenico ; De Maggio, Maria Carla
Author_Institution
Complex Syst. & Security Lab., Univ. Campus Bio-Medico di Roma, Rome, Italy
fYear
2014
fDate
13-16 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Recently, the “All Hazard” paradigm gained a large interest in the framework of Critical Infrastructure Protection, stressing the importance to guarantee an adequate level of service continuity in spite of any type of negative events, ranging from natural disasters to technological faults, considering both accidental and malicious actions. However, such an approach makes more difficult the analysis of the scenario, because experts have to consider a multitude of possible causes and their possible effects. Moreover, there is the need to consider, further to the direct consequences, also those induced by second or higher-level effects, i.e. the consequences induced by dependencies on other systems and cascading effects on the population. To help experts in this hard task, within the EC co-funded project Threvi2, the authors developed an approach to manage the cause-effect relationships using a taxonomic framework, where the different causes are decomposed in their elementary effects, and then grouped into classes of threats.
Keywords
critical infrastructures; disasters; emergency management; All Hazard paradigm; EC cofunded project Threvi2; accidental actions; cause-effect relationships; critical infrastructure protection; dependency analysis; emergency scenarios; malicious actions; natural disasters; service continuity; taxonomic framework; technological faults; Analytical models; Economics; Materials; Measurement; Organizations; Organizing; Predictive models; Critical Infrastructure Protection; all-hazard approach; interdependency taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Security Technology (ICCST), 2014 International Carnahan Conference on
Conference_Location
Rome
Print_ISBN
978-1-4799-3530-7
Type
conf
DOI
10.1109/CCST.2014.6987022
Filename
6987022
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