Risk assesment for critical infrastructure

Šarūnienė, Inga; Martišauskas, Linas; Krikštolaitis, Ričardas; Augutis, Juozas; Juričkaitė, Vika; Setola, Roberto

Use this url to cite publication: https://hdl.handle.net/20.500.12259/57226

Risk assesment for critical infrastructure

Type of publication

Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)

Author(s)


Šarūnienė, Inga	Lietuvos energetikos institutas	LT
Martišauskas, Linas	Lietuvos energetikos institutas	LT
Krikštolaitis, Ričardas	Matematikos ir statistikos katedra / Department of Mathematics and Statistics	LT
Augutis, Juozas	Matematikos ir statistikos katedra / Department of Mathematics and Statistics	LT
Juričkaitė, Vika	Informatikos fakultetas / Faculty of Informatics	LT
Setola, Roberto	University CAMPUS Bio-Medico, Roma	IT

Title

Risk assesment for critical infrastructure

Is part of

Critical infrastructures: enhancing preparedness & resilience for the security of citizens and services supply continuity: proceedings of the 52nd ESReDA seminar, May 30-31, 2017, Kaunas, Lithuania / edited by Inga Žutautaitė, Mohamed Eid, Kaisa Simola, Vytis Kopustinskas. Luxembourg : European Atomic Energy Community, 2017

Date Issued

Date Issued
2017

Publisher

Luxembourg : European Atomic Energy Community, 2017

Publisher (trusted)

Index Copernicus

Extent

p. 82-94

URI

URI
https://doi.org/10.2760/07157
https://hdl.handle.net/20.500.12259/57226

Field of Science

Matematika / Mathema...

Keywords

Critical infrastructu...

Criticality assessmen...

Unfunctionality proba...

Risk assessment

Abstract

In the paper, a general risk assessment procedure for critical infrastructure (CI) is based on the assessment of criticality of CI elements due to the consequences of loss of their functionality, and estimation of probabilities associated with these criticalities. Bayesian networks method was applied to estimate probabilities of unfunctionality of CI elements to capture the impact of various factors, which influence CI functionality. Implementation of the proposed approach is illustrated by pilot calculations for energy CI of Lithuania.