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dc.contributor.advisorCarlyle, W. Matthew
dc.contributor.authorBabick, John P.
dc.date.accessioned2012-03-14T17:42:34Z
dc.date.available2012-03-14T17:42:34Z
dc.date.issued2009-09
dc.identifier.urihttp://hdl.handle.net/10945/4652
dc.descriptionApproved for public release, distribution unlimiteden_US
dc.description.abstractWe introduce a new way to perform network analysis on critical infrastructure that is superior to Risk Analysis and Management for Critical Asset Protection (RAMCAP), currently used by the Department of Homeland Security. We introduce the idea of a Design-Attack-Defend (DAD) model that determines the optimal defense plan for a critical infrastructure network within a specified budget constraint. Design-Attack-Defend first determines worst-case attacks and then determines where to defend or build additional infrastructure that will maximize the surviving efficiency of the infrastructure after a malicious attack or natural disaster. Design- Attack-Defend ensures that the defense plan suggested is optimal to a range of attacks, out of all possible defense plans, within budget constraints. The Design-Attack-Defend will always give a solution at least as good as RAMCAP and as a simpler, bi-level Attacker-Defender model-and in many cases it can be expected to suggest a better plan for where to defend or build additional critical infrastructure. We demonstrate with a model of the Western U.S. railroad network.en_US
dc.description.urihttp://archive.org/details/trileveloptimiza109454652
dc.format.extentxvii, 51 p. : 1 col map ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshRisk assessmenten_US
dc.titleTri-level optimization of critical infrastructure resilienceen_US
dc.typeThesisen_US
dc.contributor.secondreaderBrown, Gerald G.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research
dc.description.serviceUS Navy (USN) author.en_US
dc.identifier.oclc463495492
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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