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Modeling Credible Retaliation Threats in Deterring the Smuggling of Nuclear Weapons Using Partial Inspection---A Three-Stage Game

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  • Xiaojun (Gene) Shan

    (Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260)

  • Jun Zhuang

    (Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260)

Abstract

Deterring the smuggling of nuclear weapons in container freight is critical. Previous work has suggested that such deterrence could be achieved by retaliation threats and partial inspection. However, pre-event declared retaliation threats may not be credible, causing the desired deterrence not to be achieved. In this paper, we extend and complement the work of Haphuriwat et al. (2011) to model credible retaliation threats in a three-stage game, by introducing two additional decision variables and five additional parameters. Our results suggest that noncredible retaliation could be at equilibrium when the reputation loss is low, the reward from the public for retaliation is low, or the costs of retaliation are high. When the declared retaliations are noncredible, we quantitatively show that a higher inspection level would be required to deter nuclear smuggling than would be needed if retaliation threats are always credible. This paper provides additional quantitative insights on the decision-making process for container screening to deter nuclear smuggling.

Suggested Citation

  • Xiaojun (Gene) Shan & Jun Zhuang, 2014. "Modeling Credible Retaliation Threats in Deterring the Smuggling of Nuclear Weapons Using Partial Inspection---A Three-Stage Game," Decision Analysis, INFORMS, vol. 11(1), pages 43-62, March.
  • Handle: RePEc:inm:ordeca:v:11:y:2014:i:1:p:43-62
    DOI: 10.1287/deca.2013.0288
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    8. Shan, Xiaojun & Zhuang, Jun, 2018. "Modeling cumulative defensive resource allocation against a strategic attacker in a multi-period multi-target sequential game," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 12-26.
    9. Bagchi, Aniruddha & Paul, Jomon A., 2017. "Espionage and the optimal standard of the Customs-Trade Partnership against Terrorism (C-TPAT) program in maritime security," European Journal of Operational Research, Elsevier, vol. 262(1), pages 89-107.
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    11. César Gil & David Rios Insua & Jesus Rios, 2016. "Adversarial Risk Analysis for Urban Security Resource Allocation," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 727-741, April.

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