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Mathematical Methods in Combatting Terrorism

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  • Bernard Harris

Abstract

This document is a preliminary report on the role that mathematical and statistical methods might play in the defense against terrorist attacks. In no way does this replace the efforts of law enforcement agenices or intelligence activities. The hope is that mathematical techniques can make their efforts more efficient. The ideas enumerated here utilize the notion of probabilistic risk analysis, which was developed for the purpose of assessing the safety of nuclear reactors, as well as randomization and game theory. More extensive work in these directions is contemplated for the future. The author is planning workshops to evaluate the ideas presented here and to elicit additional methodologies that may prove useful in this endeavor.

Suggested Citation

  • Bernard Harris, 2004. "Mathematical Methods in Combatting Terrorism," Risk Analysis, John Wiley & Sons, vol. 24(4), pages 985-988, August.
    • Handle: RePEc:wly:riskan:v:24:y:2004:i:4:p:985-988
    DOI: 10.1111/j.0272-4332.2004.00501.x
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    Cited by:

    1. 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.
    2. Abhinav B. Agrawal & Kash Barker & Yacov Y. Haimes, 2011. "Adaptive multiplayer approach for risk‐based decision‐making: 2006 Virginia Gubernatorial Inauguration," Systems Engineering, John Wiley & Sons, vol. 14(4), pages 455-470, December.
    3. Edouard Kujawski, 2015. "Accounting for Terrorist Behavior in Allocating Defensive Counterterrorism Resources," Systems Engineering, John Wiley & Sons, vol. 18(4), pages 365-376, July.
    4. 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.
    5. Jordan Jeremy D & Melouk Sharif H & Perry Marcus B, 2009. "Optimizing Football Game Play Calling," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-34, May.
    6. William M. Bulleit & Matthew W. Drewek, 2011. "Agent‐Based Simulation for Human‐Induced Hazard Analysis," Risk Analysis, John Wiley & Sons, vol. 31(2), pages 205-217, February.
    7. 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.
    8. Golany, Boaz & Kaplan, Edward H. & Marmur, Abraham & Rothblum, Uriel G., 2009. "Nature plays with dice - terrorists do not: Allocating resources to counter strategic versus probabilistic risks," European Journal of Operational Research, Elsevier, vol. 192(1), pages 198-208, January.
    9. James H. Lambert & Mark W. Farrington, 2006. "Risk‐Based Objectives for the Allocation of Chemical, Biological, and Radiological Air Emissions Sensors," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1659-1674, December.

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