Security assessment of process facilities – Intrusion modeling

Guozheng Song, Faisal Khan, Ming Yang

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)639-650
Number of pages12
JournalProcess Safety and Environmental Protection
Volume117
DOIs
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

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

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