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 language | English |
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Pages (from-to) | 639-650 |
Number of pages | 12 |
Journal | Process Safety and Environmental Protection |
Volume | 117 |
DOIs | |
Publication status | Published - Jul 2018 |
Externally published | Yes |
Keywords
- Bayesian network model
- Dependency modeling
- Intrusion process analysis
- Intrusion scenario
- Probability update