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Role of Intelligence Inputs in Defending Against Cyber Warfare and Cyberterrorism

Author

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  • Aniruddha Bagchi

    (Coles College of Business, Kennesaw State University, Kennesaw, Georgia 30144)

  • Tridib Bandyopadhyay

    (Coles College of Business, Kennesaw State University, Kennesaw, Georgia 30144)

Abstract

This article examines the role of espionage in defending against cyber attacks on infrastructural firms. We analyze the problem using a game between a government, an infrastructural firm, and an attacker. If the attacker successfully breaches the IT security defenses of the infrastructural firm, primary losses accrue to that firm, while widespread collateral losses accrue to the rest of the economy. The government assists the infrastructural firm by providing intelligence inputs about an impending attack. We find that subject to some conditions, expenditure on intelligence adds value only when its amount exceeds a threshold level. Also, the nature of the equilibrium depends on the level of government expenditure in intelligence. We find that the optimal level of intelligence expenditure can change in seemingly unexpected ways in response to a shift in parameters. For example, reduced vulnerability of the infrastructural firm does not necessarily imply a reduction in intelligence-gathering effort. We also exhibit circumstances under which a system of centralized security in which the government regulates both intelligence gathering as well as the system inspection regime of the infrastructural firm may not always be desirable because of strategic interactions between the players.

Suggested Citation

  • Aniruddha Bagchi & Tridib Bandyopadhyay, 2018. "Role of Intelligence Inputs in Defending Against Cyber Warfare and Cyberterrorism," Decision Analysis, INFORMS, vol. 15(3), pages 174-193, September.
  • Handle: RePEc:inm:ordeca:v:15:y:2018:i:3:p:174-193
    DOI: 10.1287/deca.2018.0370
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    References listed on IDEAS

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    1. 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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    7. 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.
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    9. Kjell Hausken & Jun Zhuang, 2016. "How companies and governments react to disasters," Journal of Risk and Reliability, , vol. 230(4), pages 417-426, August.
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    Cited by:

    1. Vicki M. Bier & Simon French, 2020. "From the Editors: Decision Analysis Focus and Trends," Decision Analysis, INFORMS, vol. 17(1), pages 1-8, March.
    2. Ali Yekkehkhany & Timothy Murray & Rakesh Nagi, 2021. "Stochastic Superiority Equilibrium in Game Theory," Decision Analysis, INFORMS, vol. 18(2), pages 153-168, June.
    3. Paul, Jomon A. & Zhang, Minjiao, 2021. "Decision support model for cybersecurity risk planning: A two-stage stochastic programming framework featuring firms, government, and attacker," European Journal of Operational Research, Elsevier, vol. 291(1), pages 349-364.
    4. Bagchi, Aniruddha & Paul, Jomon A., 2021. "National security vs. human rights: A game theoretic analysis of the tension between these objectives," European Journal of Operational Research, Elsevier, vol. 290(2), pages 790-805.
    5. Aitor Couce-Vieira & David Rios Insua & Alex Kosgodagan, 2020. "Assessing and Forecasting Cybersecurity Impacts," Decision Analysis, INFORMS, vol. 17(4), pages 356-374, December.

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