IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-319-13009-5_6.html
   My bibliography  Save this book chapter

Network Throughput and Reliability: Preventing Hazards and Attacks Through Gaming—Part 2: A Research Agenda

In: Game Theoretic Analysis of Congestion, Safety and Security

Author

Listed:
  • Yupo Chan

    (University of Arkansas at Little Rock)

Abstract

It is clear from the discussions in the previous chapter that, while there has been work done on improving network throughput and reliability, only a plethora of literature discusses a unified model to address both hazards and attacks. This is the motivation behind the previous chapter and the current one, where an attempt is made to bridge this gap. In spite of our initial modeling and computational experiments, no one has yet established the formal conditions under which a Pareto Nash equilibrium exists to prevent both hazards and attacks. Such an equilibrium includes the necessary posturing to discourage terrorist attacks, and to perform preventive maintenance and upgrade on our critical civil infrastructure ahead of a hazard. Meanwhile, general principles of how to best defend systems of specific types against intelligent attacks are emerging that can help system managers to allocate resources to best defend their systems. The research framework outlined in this chapter will gain insights into hazards and attack mitigation for a variety of infrastructure networks. In addition, there is much that can be done in the behavioral science perspective.

Suggested Citation

  • Yupo Chan, 2015. "Network Throughput and Reliability: Preventing Hazards and Attacks Through Gaming—Part 2: A Research Agenda," Springer Series in Reliability Engineering, in: Kjell Hausken & Jun Zhuang (ed.), Game Theoretic Analysis of Congestion, Safety and Security, edition 127, pages 141-172, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-319-13009-5_6
    DOI: 10.1007/978-3-319-13009-5_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Bose, Gautam & Konrad, Kai A., 2020. "Devil take the hindmost: Deflecting attacks to other defenders," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    3. Chen, Chao & Yang, Ming & Reniers, Genserik, 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    4. Bandyopadhyay, Subhayu & Sandler, Todd, 2021. "Counterterrorism policy: Spillovers, regime solidity, and corner solutions," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 811-827.
    5. Hausken, Kjell, 2024. "Fifty Years of Operations Research in Defense," European Journal of Operational Research, Elsevier, vol. 318(2), pages 355-368.
    6. 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.
    7. Rui Peng & Di Wu & Mengyao Sun & Shaomin Wu, 2021. "An attack-defense game on interdependent networks," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(10), pages 2331-2341, October.
    8. Bandyopadhyay, Subhayu & Sandler, Todd, 2023. "Politically influenced counterterrorism policy and welfare efficiency," European Journal of Political Economy, Elsevier, vol. 76(C).
    9. Kjell Hausken, 2018. "Proactivity and Retroactivity of Firms and Information Sharing of Hackers," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-30, March.
    10. Peiqiu Guan & Meilin He & Jun Zhuang & Stephen C. Hora, 2017. "Modeling a Multitarget Attacker–Defender Game with Budget Constraints," Decision Analysis, INFORMS, vol. 14(2), pages 87-107, June.
    11. 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).
    12. 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.
    13. Barry Charles Ezell & Steven P. Bennett & Detlof Von Winterfeldt & John Sokolowski & Andrew J. Collins, 2010. "Probabilistic Risk Analysis and Terrorism Risk," Risk Analysis, John Wiley & Sons, vol. 30(4), pages 575-589, April.
    14. 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.
    15. 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.
    16. Hausken, Kjell, 2010. "Defense and attack of complex and dependent systems," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 29-42.
    17. 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).
    18. Zhang, Jing & Zhuang, Jun & Behlendorf, Brandon, 2018. "Stochastic shortest path network interdiction with a case study of Arizona–Mexico border," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 62-73.
    19. 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.
    20. David Iliaev & Sigal Oren & Ella Segev, 2023. "A Tullock-contest-based approach for cyber security investments," Annals of Operations Research, Springer, vol. 320(1), pages 61-84, January.

    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:spr:ssrchp:978-3-319-13009-5_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.