IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v191y2019ics0951832016310092.html
   My bibliography  Save this article

Using game theory to optimize the allocation of defensive resources on a city scale to protect chemical facilities against multiple types of attackers

Author

Listed:
  • Feng, Qilin
  • Cai, Hao
  • Chen, Zhilong

Abstract

Chemical facilities in cities are under increasing threats from multiple types of intentional attackers, such as criminals, employees engaging in illegal conduct, and terrorist groups (Irish Republican Army, Hamas, and Al Qaeda, etc.). Each type of attacker differs from others in its attack purposes, attack strategies and tactics, and valuations of targets. This study extended our previous study from coping with only one type of attacker to multiple types by presenting a Bayesian game-theoretic method, which can help defenders to minimize their expected losses by optimizing the allocation of limited defensive resources. The applicability and reliability of the method were tested using five chemical plants in a city in China storing massive amounts of flammable, explosive and toxic chemicals as a case study. Through this case study, the advantages of the proposed method were validated by comparing the effects on the expected loss of different defensive strategies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832016310092
    DOI: 10.1016/j.ress.2017.07.003
    as

    Download full text from publisher

    File URL: https://www.sciencedirect.com/science/article/pii/S0951832016310092
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2017.07.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Qing & Li, Mingchu & Tian, Yuan & Gan, Jianyuan, 2023. "A risk-averse tri-level stochastic model for locating and recovering facilities against attacks in an uncertain environment," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. 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.
    3. 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).
    4. 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).
    5. Lin, Chen & Xiao, Hui & Peng, Rui & Xiang, Yisha, 2021. "Optimal defense-attack strategies between M defenders and N attackers: A method based on cumulative prospect theory," Reliability Engineering and System Safety, Elsevier, vol. 210(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832016310092. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.