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Applying game theory for securing oil and gas pipelines against terrorism

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  • Rezazadeh, Amirali
  • Talarico, Luca
  • Reniers, Genserik
  • Cozzani, Valerio
  • Zhang, Laobing

Abstract

Security-related risks of oil and gas pipelines are assessed in this paper using the technique of game theory in combination with a security risk assessment approach. A Socio-political index is defined and embedded in an innovative and comprehensive assessment method, considering the effects of social, economic and political elements on pipeline attractiveness and vulnerability. After having analysed the security threats, security measures, aimed at increasing the security level of a pipeline system, are assessed by using a game-theory model. The pipeline segments which are the most probable to be attacked are determined. In addition, having assessed the possible outcomes of attacks to each segment, the security of different segments of specific pipeline routes can be further improved. Our approach can efficiently allocate limited security resources to decrease the security risk along a pipeline route. It should be noted that although this study focuses on oil and gas pipelines, the proposed methodology could be easily adapted to other pipeline systems.

Suggested Citation

  • Rezazadeh, Amirali & Talarico, Luca & Reniers, Genserik & Cozzani, Valerio & Zhang, Laobing, 2019. "Applying game theory for securing oil and gas pipelines against terrorism," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832017302971
    DOI: 10.1016/j.ress.2018.04.021
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    References listed on IDEAS

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    1. Laobing Zhang & Genserik Reniers, 2016. "A Game‐Theoretical Model to Improve Process Plant Protection from Terrorist Attacks," Risk Analysis, John Wiley & Sons, vol. 36(12), pages 2285-2297, December.
    2. Genserik Reniers & Yulia Pavlova, 2013. "Using Game Theory to Improve Safety within Chemical Industrial Parks," Springer Series in Reliability Engineering, Springer, edition 127, number 978-1-4471-5052-7, March.
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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. Ding, Zhetong & Chen, Chunyu & Cui, Mingjian & Bi, Wenjun & Chen, Yang & Li, Fangxing, 2021. "Dynamic game-based defensive primary frequency control system considering intelligent attackers," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Hunt, Kyle & Zhuang, Jun, 2024. "A review of attacker-defender games: Current state and paths forward," European Journal of Operational Research, Elsevier, vol. 313(2), pages 401-417.
    4. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    5. Rongchen Zhu & Xiaofeng Hu & Xin Li & Han Ye & Nan Jia, 2020. "Modeling and Risk Analysis of Chemical Terrorist Attacks: A Bayesian Network Method," IJERPH, MDPI, vol. 17(6), pages 1-23, March.
    6. 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).
    7. 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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