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Algorithms for Network Interdiction and Fortification Games

In: Pareto Optimality, Game Theory And Equilibria

Author

Listed:
  • J. Cole Smith

    (University of Florida)

  • Churlzu Lim

    (University of North Carolina at Charlotte)

Abstract

This chapter explores models and algorithms applied to a class of Stackelberg games on networks. In these network interdictiongames, a network exists over which an operator wishes to execute some function, such as finding a shortest path, shipping a maximum flow, or transmitting a minimum cost multicommodity flow. The role of the interdictor is to compromise certain network elements before the operator acts, by (for instance) increasing the cost of flow or reducing capacity on an arc. We begin by reviewing the field of network interdiction and its related theoretical and mathematical foundations. We then discuss recent applications of stochastic models, valid inequalities, continuous bilinear programming techniques, and asymmetric analysis to network interdiction problems. Next, note that interdiction problems can be extended to a three-stage problem in which the operator fortifies the network (by increasing capacities, reducing flow costs, or defending network elements from the interdictor) before the interdictor takes action. We devote one section to ongoing research in this area and conclude by discussing areas for future research.

Suggested Citation

  • J. Cole Smith & Churlzu Lim, 2008. "Algorithms for Network Interdiction and Fortification Games," Springer Optimization and Its Applications, in: Altannar Chinchuluun & Panos M. Pardalos & Athanasios Migdalas & Leonidas Pitsoulis (ed.), Pareto Optimality, Game Theory And Equilibria, pages 609-644, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-77247-9_24
    DOI: 10.1007/978-0-387-77247-9_24
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    Citations

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    Cited by:

    1. Juan S. Borrero & Oleg A. Prokopyev & Denis Sauré, 2019. "Sequential Interdiction with Incomplete Information and Learning," Operations Research, INFORMS, vol. 67(1), pages 72-89, January.
    2. Sreekumaran, Harikrishnan & Hota, Ashish R. & Liu, Andrew L. & Uhan, Nelson A. & Sundaram, Shreyas, 2021. "Equilibrium strategies for multiple interdictors on a common network," European Journal of Operational Research, Elsevier, vol. 288(2), pages 523-538.
    3. Huff, Johnathon D. & Leonard, William B. & Medal, Hugh R., 2022. "The wireless network jamming problem subject to protocol interference using directional antennas and with battery capacity constraints," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    4. Liberatore, Federico & Scaparra, Maria P. & Daskin, Mark S., 2012. "Hedging against disruptions with ripple effects in location analysis," Omega, Elsevier, vol. 40(1), pages 21-30, January.
    5. Burcu B. Keskin & Gregory J. Bott & Nickolas K. Freeman, 2021. "Cracking Sex Trafficking: Data Analysis, Pattern Recognition, and Path Prediction," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1110-1135, April.
    6. Juan S. Borrero & Leonardo Lozano, 2021. "Modeling Defender-Attacker Problems as Robust Linear Programs with Mixed-Integer Uncertainty Sets," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1570-1589, October.
    7. Brian Lunday & Hanif Sherali, 2012. "Network interdiction to minimize the maximum probability of evasion with synergy between applied resources," Annals of Operations Research, Springer, vol. 196(1), pages 411-442, July.
    8. Hannah Lobban & Yasser Almoghathawi & Nazanin Tajik & Kash Barker, 2021. "Community vulnerability perspective on robust protection planning in interdependent infrastructure networks," Journal of Risk and Reliability, , vol. 235(5), pages 798-813, October.
    9. Ketkov, Sergey S. & Prokopyev, Oleg A., 2020. "On greedy and strategic evaders in sequential interdiction settings with incomplete information," Omega, Elsevier, vol. 92(C).
    10. Mike Prince & J. Cole Smith & Joseph Geunes, 2013. "A three‐stage procurement optimization problem under uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(5), pages 395-412, August.
    11. Mehdi Hemmati & J. Cole Smith & My Thai, 2014. "A cutting-plane algorithm for solving a weighted influence interdiction problem," Computational Optimization and Applications, Springer, vol. 57(1), pages 71-104, January.
    12. McCarter, Matthew & Barker, Kash & Johansson, Jonas & Ramirez-Marquez, Jose E., 2018. "A bi-objective formulation for robust defense strategies in multi-commodity networks," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 154-161.
    13. Khouzani, MHR. & Liu, Zhengliang & Malacaria, Pasquale, 2019. "Scalable min-max multi-objective cyber-security optimisation over probabilistic attack graphs," European Journal of Operational Research, Elsevier, vol. 278(3), pages 894-903.
    14. Leitner, Markus & Ljubić, Ivana & Monaci, Michele & Sinnl, Markus & Tanınmış, Kübra, 2023. "An exact method for binary fortification games," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1026-1039.
    15. Leonardo Lozano & J. Cole Smith, 2017. "A Backward Sampling Framework for Interdiction Problems with Fortification," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 123-139, February.
    16. Alberto Caprara & Margarida Carvalho & Andrea Lodi & Gerhard J. Woeginger, 2016. "Bilevel Knapsack with Interdiction Constraints," INFORMS Journal on Computing, INFORMS, vol. 28(2), pages 319-333, May.
    17. Casorrán, Carlos & Fortz, Bernard & Labbé, Martine & Ordóñez, Fernando, 2019. "A study of general and security Stackelberg game formulations," European Journal of Operational Research, Elsevier, vol. 278(3), pages 855-868.
    18. Matteo Fischetti & Ivana Ljubić & Michele Monaci & Markus Sinnl, 2019. "Interdiction Games and Monotonicity, with Application to Knapsack Problems," INFORMS Journal on Computing, INFORMS, vol. 31(2), pages 390-410, April.

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