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Development of fragility models for process equipment affected by physical security attacks

Author

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  • Marroni, Giulia
  • Casini, Leonardo
  • Bartolucci, Andrea
  • Kuipers, Sanneke
  • Casson Moreno, Valeria
  • Landucci, Gabriele

Abstract

The vulnerability of chemical and process facilities toward physical security attacks depends on the equipment resistance against such attacks and on the performance of Physical Protection Systems (PPS) in place. To enhance the protection against intentional attacks, the development of quantitative vulnerability metrics is essential, nevertheless current standard approaches only offer qualitative or semi-quantitative evaluations. The aim of the present work is to develop a quantitative methodology for the assessment of chemical and process facilities vulnerability towards external acts of interference. The proposed methodology is based both on the evaluation of equipment structural integrity in response to different types of specific impact vectors characterizing intentional attacks and on the quantitative performance assessment of related PPS. In particular, specific fragility models were developed for impact vectors associated with improvised explosive devices, firearms, and incendiary weapons. The novel fragility models were implemented in a comprehensive security vulnerability assessment (SVA) based on Bayesian Networks, in which the contribution of PPS performance was also considered. A case study was defined and analyzed to exemplify the application of the proposed approach. The results obtained allowed for the identification of the most critical security-related escalation scenarios and thus for an improved quantitative SVA.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007949
    DOI: 10.1016/j.ress.2023.109880
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    1. Tugnoli, Alessandro & Scarponi, Giordano Emrys & Antonioni, Giacomo & Cozzani, Valerio, 2022. "Quantitative assessment of domino effect and escalation scenarios caused by fragment projection," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Yang, Yunfeng & Chen, Guohua & Reniers, Genserik, 2020. "Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    3. Ding, Long & Khan, Faisal & Ji, Jie, 2022. "A novel vulnerability model considering synergistic effect of fire and overpressure in chemical processing facilities," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Khakzad, Nima & Landucci, Gabriele & Cozzani, Valerio & Reniers, Genserik & Pasman, Hans, 2018. "Cost-effective fire protection of chemical plants against domino effects," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 412-421.
    5. Zhang, Y. & Weng, W.G., 2020. "Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    6. 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).
    7. Iaiani, Matteo & Casson Moreno, Valeria & Reniers, Genserik & Tugnoli, Alessandro & Cozzani, Valerio, 2021. "Analysis of events involving the intentional release of hazardous substances from industrial facilities," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    8. Johansson, Jonas & Hassel, Henrik & Zio, Enrico, 2013. "Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 27-38.
    9. Argyroudis, Sotirios A. & Mitoulis, Stergios Aristoteles, 2021. "Vulnerability of bridges to individual and multiple hazards- floods and earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    10. Sudip Maiti & Yingzi Li & Sheuli Sasmal & Srimanta Guin & Trisha Bhattacharya & Goutam Kumar Lahiri & Robert S. Paton & Debabrata Maiti, 2022. "Expanding chemical space by para-C−H arylation of arenes," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    11. 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.
    12. van Staalduinen, Mark Adrian & Khan, Faisal & Gadag, Veeresh & Reniers, Genserik, 2017. "Functional quantitative security risk analysis (QSRA) to assist in protecting critical process infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 23-34.
    13. Zuluaga Mayorga, Santiago & Sánchez-Silva, Mauricio & Ramírez Olivar, Oscar J. & Muñoz Giraldo, Felipe, 2019. "Development of parametric fragility curves for storage tanks: A Natech approach," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 1-10.
    14. Bernier, Carl & Padgett, Jamie E., 2019. "Fragility and risk assessment of aboveground storage tanks subjected to concurrent surge, wave, and wind loads," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    15. Yacov Y. Haimes, 2006. "On the Definition of Vulnerabilities in Measuring Risks to Infrastructures," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 293-296, April.
    16. Lanzano, Giovanni & Salzano, Ernesto & de Magistris, Filippo Santucci & Fabbrocino, Giovanni, 2013. "Seismic vulnerability of natural gas pipelines," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 73-80.
    17. Misuri, Alessio & Khakzad, Nima & Reniers, Genserik & Cozzani, Valerio, 2019. "A Bayesian network methodology for optimal security management of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    18. Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2021. "A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    19. Li, Xiaofeng & Chen, Guohua & Amyotte, Paul & Khan, Faisal & Alauddin, Mohammad, 2023. "Vulnerability assessment of storage tanks exposed to simultaneous fire and explosion hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    20. Chen, Chao & Khakzad, Nima & Reniers, Genserik, 2020. "Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    21. Feng, Qilin & Cai, Hao & Chen, Zhilong, 2019. "Using game theory to optimize the allocation of defensive resources on a city scale to protect chemical facilities against multiple types of attackers," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    22. Argenti, Francesca & Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio, 2018. "Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 515-530.
    23. Aven, Terje, 2007. "A unified framework for risk and vulnerability analysis covering both safety and security," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 745-754.
    24. Rossi, Lorenzo & Casson Moreno, Valeria & Landucci, Gabriele, 2022. "Vulnerability assessment of process pipelines affected by flood events," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
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