IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v36y2016i4p776-791.html
   My bibliography  Save this article

Modeling Resources Allocation in Attacker‐Defender Games with “Warm Up” CSF

Author

Listed:
  • Peiqiu Guan
  • Jun Zhuang

Abstract

Like many other engineering investments, the attacker's and defender's investments may have limited impact without initial capital to “warm up” the systems. This article studies such “warm up” effects on both the attack and defense equilibrium strategies in a sequential‐move game model by developing a class of novel and more realistic contest success functions. We first solve a single‐target attacker‐defender game analytically and provide numerical solutions to a multiple‐target case. We compare the results of the models with and without consideration of the investment “warm up” effects, and find that the defender would suffer higher expected damage, and either underestimate the attacker effort or waste defense investment if the defender falsely believes that no investment “warm up” effects exist. We illustrate the model results with real data, and compare the results of the models with and without consideration of the correlation between the “warm up” threshold and the investment effectiveness. Interestingly, we find that the defender is suggested to give up defending all the targets when the attack or the defense “warm up” thresholds are sufficiently high. This article provides new insights and suggestions on policy implications for homeland security resource allocation.

Suggested Citation

  • Peiqiu Guan & Jun Zhuang, 2016. "Modeling Resources Allocation in Attacker‐Defender Games with “Warm Up” CSF," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 776-791, April.
  • Handle: RePEc:wly:riskan:v:36:y:2016:i:4:p:776-791
    DOI: 10.1111/risa.12502
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12502
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12502?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
    ---><---

    References listed on IDEAS

    as
    1. Xiaojun Shan & Jun Zhuang, 2013. "Cost of Equity in Homeland Security Resource Allocation in the Face of a Strategic Attacker," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1083-1099, June.
    2. Mohammad E. Nikoofal & Jun Zhuang, 2012. "Robust Allocation of a Defensive Budget Considering an Attacker's Private Information," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 930-943, May.
    3. Vicki Bier & Santiago Oliveros & Larry Samuelson, 2007. "Choosing What to Protect: Strategic Defensive Allocation against an Unknown Attacker," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(4), pages 563-587, August.
    4. Chen Wang & Vicki M. Bier, 2011. "Target-Hardening Decisions Based on Uncertain Multiattribute Terrorist Utility," Decision Analysis, INFORMS, vol. 8(4), pages 286-302, December.
    5. Vicki M. Bier & Naraphorn Haphuriwat & Jaime Menoyo & Rae Zimmerman & Alison M. Culpen, 2008. "Optimal Resource Allocation for Defense of Targets Based on Differing Measures of Attractiveness," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 763-770, June.
    6. Azaiez, M.N. & Bier, Vicki M., 2007. "Optimal resource allocation for security in reliability systems," European Journal of Operational Research, Elsevier, vol. 181(2), pages 773-786, September.
    7. Kjell Hausken & Jun Zhuang, 2011. "Defending Against a Stockpiling Terrorist," The Engineering Economist, Taylor & Francis Journals, vol. 56(4), pages 321-353.
    8. Stergios Skaperdas, 1996. "Contest success functions (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 7(2), pages 283-290.
    9. Mohsen Golalikhani & Jun Zhuang, 2011. "Modeling Arbitrary Layers of Continuous‐Level Defenses in Facing with Strategic Attackers," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 533-547, April.
    10. Jun Zhuang & Vicki M. Bier, 2007. "Balancing Terrorism and Natural Disasters---Defensive Strategy with Endogenous Attacker Effort," Operations Research, INFORMS, vol. 55(5), pages 976-991, October.
    11. Hausken, Kjell, 2008. "Strategic defense and attack for reliability systems," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1740-1750.
    12. Jack Hirshleifer, 1989. "Conflict and rent-seeking success functions: Ratio vs. difference models of relative success," Springer Books, in: Roger D. Congleton & Arye L. Hillman & Kai A. Konrad (ed.), 40 Years of Research on Rent Seeking 1, pages 251-262, Springer.
    13. Kjell Hausken, 2012. "Game Theoretic Analysis of Standby Systems," Chapters, in: Yair Holtzman (ed.), Advanced Topics in Applied Operations Management, IntechOpen.
    14. Jun Zhuang & Vicki Bier, 2011. "Secrecy And Deception At Equilibrium, With Applications To Anti-Terrorism Resource Allocation," Defence and Peace Economics, Taylor & Francis Journals, vol. 22(1), pages 43-61.
    15. Jun Zhuang & Vicki M. Bier, 2010. "Reasons for Secrecy and Deception in Homeland‐Security Resource Allocation," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1737-1743, December.
    16. K Hausken & J Zhuang, 2012. "The timing and deterrence of terrorist attacks due to exogenous dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(6), pages 726-735, June.
    17. Kjell Hausken & Vicki M. Bier & Jun Zhuang, 2009. "Defending Against Terrorism, Natural Disaster, and All Hazards," International Series in Operations Research & Management Science, in: Vicki M. M. Bier & M. Naceur Azaiez (ed.), Game Theoretic Risk Analysis of Security Threats, chapter 4, pages 65-97, Springer.
    18. Sandler, Todd & Lapan, Harvey E., 1988. "The Calculus of Dissent: An Analysis of Terrorists' Choice of Targets," Staff General Research Papers Archive 10818, Iowa State University, Department of Economics.
    19. Shan, Xiaojun & Zhuang, Jun, 2013. "Hybrid defensive resource allocations in the face of partially strategic attackers in a sequential defender–attacker game," European Journal of Operational Research, Elsevier, vol. 228(1), pages 262-272.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ridwan Al Aziz & Meilin He & Jun Zhuang, 2020. "An Attacker–defender Resource Allocation Game with Substitution and Complementary Effects," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1481-1506, July.
    2. Qingqing Zhai & Rui Peng & Jun Zhuang, 2020. "Defender–Attacker Games with Asymmetric Player Utilities," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 408-420, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qingqing Zhai & Rui Peng & Jun Zhuang, 2020. "Defender–Attacker Games with Asymmetric Player Utilities," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 408-420, February.
    2. Mohammad E. Nikoofal & Mehmet Gümüs, 2015. "On the value of terrorist’s private information in a government’s defensive resource allocation problem," IISE Transactions, Taylor & Francis Journals, vol. 47(6), pages 533-555, June.
    3. 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.
    4. Zhiheng Xu & Jun Zhuang, 2019. "A Study on a Sequential One‐Defender‐N‐Attacker Game," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1414-1432, June.
    5. Hunt, Kyle & Agarwal, Puneet & Zhuang, Jun, 2022. "On the adoption of new technology to enhance counterterrorism measures: An attacker–defender game with risk preferences," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    6. Ridwan Al Aziz & Meilin He & Jun Zhuang, 2020. "An Attacker–defender Resource Allocation Game with Substitution and Complementary Effects," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1481-1506, July.
    7. Hausken, Kjell, 2017. "Defense and attack for interdependent systems," European Journal of Operational Research, Elsevier, vol. 256(2), pages 582-591.
    8. Hausken, Kjell & Zhuang, Jun, 2013. "The impact of disaster on the strategic interaction between company and government," European Journal of Operational Research, Elsevier, vol. 225(2), pages 363-376.
    9. Abdolmajid Yolmeh & Melike Baykal-Gürsoy, 2019. "Two-Stage Invest–Defend Game: Balancing Strategic and Operational Decisions," Decision Analysis, INFORMS, vol. 16(1), pages 46-66, March.
    10. Vineet M. Payyappalli & Jun Zhuang & Victor Richmond R. Jose, 2017. "Deterrence and Risk Preferences in Sequential Attacker–Defender Games with Continuous Efforts," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2229-2245, November.
    11. Peiqiu Guan & Jun Zhuang, 2015. "Modeling Public–Private Partnerships in Disaster Management via Centralized and Decentralized Models," Decision Analysis, INFORMS, vol. 12(4), pages 173-189, December.
    12. Kjell Hausken, 2014. "Choosing what to protect when attacker resources and asset valuations are uncertain," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(3), pages 23-44.
    13. Kjell Hausken, 2019. "Special versus general protection and attack of two assets," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(4), pages 53-93.
    14. Nageswara S. V. Rao & Stephen W. Poole & Chris Y. T. Ma & Fei He & Jun Zhuang & David K. Y. Yau, 2016. "Defense of Cyber Infrastructures Against Cyber‐Physical Attacks Using Game‐Theoretic Models," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 694-710, April.
    15. Bier, Vicki M. & Hausken, Kjell, 2013. "Defending and attacking a network of two arcs subject to traffic congestion," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 214-224.
    16. Nikoofal, Mohammad E. & Zhuang, Jun, 2015. "On the value of exposure and secrecy of defense system: First-mover advantage vs. robustness," European Journal of Operational Research, Elsevier, vol. 246(1), pages 320-330.
    17. Zhang, Jing & Zhuang, Jun, 2019. "Modeling a multi-target attacker-defender game with multiple attack types," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 465-475.
    18. Mohsen Golalikhani & Jun Zhuang, 2011. "Modeling Arbitrary Layers of Continuous‐Level Defenses in Facing with Strategic Attackers," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 533-547, April.
    19. 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.
    20. Bose, Gautam & Konrad, Kai A., 2020. "Devil take the hindmost: Deflecting attacks to other defenders," Reliability Engineering and System Safety, Elsevier, vol. 204(C).

    More about this item

    Statistics

    Access and download statistics

    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:wly:riskan:v:36:y:2016:i:4:p:776-791. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    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.