Security assessment of process facilities – Intrusion modeling

Song, Guozheng; Khan, Faisal; Yang, M.

Security assessment of process facilities – Intrusion modeling

Journal article (2018)

Authors

Guozheng Song Memorial University of Newfoundland

Faisal Khan Memorial University of Newfoundland

M. Yang Nazarbayev University

Affiliation

External organisation

Bayesian network model Dependency modeling Intrusion process analysis Intrusion scenario Probability update

To reference this document use:

http://resolver.tudelft.nl/uuid:789a9508-66ed-4b60-b1a8-9bab319022c5

More Info

expand_more

Published Date

2018-7

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

Abstract

The process industry is confronted with terrorism threats. Effective security management demands the ability to defend facilities against different intrusion scenarios. This study first presented various intrusion scenarios to explain the corresponding intrusion process using graphical barriers. Subsequently, this work dynamically analyzed the successful intrusion probabilities and security potentials of barriers using a Bayesian network considering the dependency of barriers and interaction of different intrusion scenarios. It was observed that successful intrusion probabilities and security potentials are strong functions of intrusion scenarios. Therefore, extensive intrusion scenarios must be considered while assessing and designing the security systems of process facilities.