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A comparative analysis of security risk assessment methodologies for the chemical industry

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  • Matteini, Anita
  • Argenti, Francesca
  • Salzano, Ernesto
  • Cozzani, Valerio

Abstract

An overview and a comparative analysis of existing methodologies adopted in the US and in Europe for the assessment of risks posed by intentional attacks against industrial sites, and more specifically chemical facilities where relevant quantities of hazardous substances are stored or processed, are given. Two case studies were analyzed by the ANSI/API RP 780 and the VAM-CF methodologies. The results show that the VAM-CF methodology resulted to be more conservative with respect to the API methodology for low-risk scenarios. The API methodology resulted more suitable for practical application, in particular for analysts having limited experience.

Suggested Citation

  • Matteini, Anita & Argenti, Francesca & Salzano, Ernesto & Cozzani, Valerio, 2019. "A comparative analysis of security risk assessment methodologies for the chemical industry," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s095183201730889x
    DOI: 10.1016/j.ress.2018.03.001
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    References listed on IDEAS

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    1. Necci, Amos & Argenti, Francesca & Landucci, Gabriele & Cozzani, Valerio, 2014. "Accident scenarios triggered by lightning strike on atmospheric storage tanks," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 30-46.
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    3. Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio & Salzano, Ernesto, 2015. "Vulnerability of industrial facilities to attacks with improvised explosive devices aimed at triggering domino scenarios," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 53-62.
    4. Khakzad, Nima & Landucci, Gabriele & Reniers, Genserik, 2017. "Application of dynamic Bayesian network to performance assessment of fire protection systems during domino effects," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 232-247.
    5. Nima Khakzad & Gabriele Landucci & Genserik Reniers, 2017. "Application of Graph Theory to Cost‐Effective Fire Protection of Chemical Plants During Domino Effects," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1652-1667, September.
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    Cited by:

    1. Dong, Mingxin & Zhang, Zhen & Liu, Yi & Zhao, Dong Feng & Meng, Yifei & Shi, Jihao, 2023. "Playing Bayesian Stackelberg game model for optimizing the vulnerability level of security incident system in petrochemical plants," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Iaiani, Matteo & Tugnoli, Alessandro & Macini, Paolo & Cozzani, Valerio, 2021. "Outage and asset damage triggered by malicious manipulation of the control system in process plants," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    3. IAIANI, Matteo & TUGNOLI, Alessandro & BONVICINI, Sarah & COZZANI, Valerio, 2021. "Analysis of Cybersecurity-related Incidents in the Process Industry," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    4. Marroni, Giulia & Casini, Leonardo & Bartolucci, Andrea & Kuipers, Sanneke & Casson Moreno, Valeria & Landucci, Gabriele, 2024. "Development of fragility models for process equipment affected by physical security attacks," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    5. Iaiani, Matteo & Sorichetti, Riccardo & Tugnoli, Alessandro & Cozzani, Valerio, 2024. "Modelling standoff distances to prevent escalation in shooting attacks to tanks storing hazardous materials," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    6. Casson Moreno, Valeria & Marroni, Giulia & Landucci, Gabriele, 2022. "Probabilistic assessment aimed at the evaluation of escalating scenarios in process facilities combining safety and security barriers," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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