Security assessment of process facilities – Intrusion modeling

Journal Article (2018)
Author(s)

Guozheng Song (Memorial University of Newfoundland)

Faisal Khan (Memorial University of Newfoundland)

Ming Yang (Nazarbayev University)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.psep.2018.05.019
More Info
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Publication Year
2018
Language
English
Affiliation
External organisation
Volume number
117
Pages (from-to)
639-650

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.

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