Improving Defense Against Intelligent Adversaries

Author:

Cox Louis Anthony

Publisher

Springer New York

Reference18 articles.

1. Aghassi M, Bertsimas D (2006) Robust game theory. Math Program 107(1):231–273

2. Aumann R (1976) Agreeing to disagree. Ann Stat 4(6):1236–1239 Bier VM (2007) Choosing what to protect. Risk Anal 27(3):607–620

3. Bier VM, Cox LA Jr, Azaiez MN (2009) Why both game theory and reliability theory are important in defending infrastructure against intelligent attacks. Chapter 1. In: Bier VM, Azaiez MN (eds) Game theoretic risk analysis of security threats. Springer, New York, Jun;27(3):607–620

4. Bordley R, Hazen G (1992) Nonlinear utility models arising from unmodelled small world intercorrelations. Manag Sci 38(7):1010–1017

5. Brown GG, Carlyle WM, Wood RK (2008) Optimizing department of homeland security defense investments: applying defender-attacker (−defender) optimization to terror risk assessment and mitigation. Appendix E of: National Research Council, 2008, Department of homeland security bioterrorist risk assessment: a call for change. National Academies, Washington, DC. http://faculty.nps.edu/kwood/docs/applyingattackerdefenderattackertoterror.pdf

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