Publication
Title
Functional quantitative security risk analysis (QSRA) to assist in protecting critical process infrastructure
Author
Abstract
This article proposes a quantitative security risk assessment methodology that can assist management in the decision-making process where and when to protect critical assets of a chemical facility. An improvement upon previous work is the approach of conducting concurrent Threat and Vulnerability Assessments, as opposed to a sequential approach. Furthermore, this method introduces a Bow Tie risk model mapped into a Bayesian Network model that allows for various logical relaxation assumptions to be applied. Different uncertainty relaxation approaches such as Noisy-OR and Leaky Noisy-OR and Noisy-AND are tested to improve Threat and Vulnerability likelihood. Finally, integrating threat/vulnerability likelihood with potential losses, the security risk is quantified. The potential security countermeasures are characterized into either decreasing vulnerability or decreasing threat likelihood and are reassessed considering a cost analysis. A theoretical case study is conducted to exemplify the execution and application of the proposed method.
Language
English
Source (journal)
Reliability engineering and system safety. - Barking
Publication
Barking : 2017
ISSN
0951-8320
Volume/pages
157(2017), p. 23-34
ISI
000387195700004
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 26.09.2016
Last edited 04.05.2017