Expected losses, insurability, and benefits from reducing vulnerability to attacks.

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Description

A model of malicious attacks against an infrastructure system is developed that uses a network representation of the system structure together with a Hidden Markov Model of an attack at a node of that system and a Markov Decision Process model of attacker strategy across the system as a whole. We use information systems as an illustration, but the analytic structure developed can also apply to attacks against physical facilities or other systems that provide services to customers. This structure provides an explicit mechanism to evaluate expected losses from malicious attacks, and to evaluate changes in those losses that would ... continued below

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36 p.

Creation Information

Nozick, Linda Karen (Cornell University, Ithaca, NY); Carlson, Rolf Erik & Turnquist, Mark Alan (Cornell University, Ithaca, NY) March 1, 2004.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 17 times . More information about this report can be viewed below.

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Description

A model of malicious attacks against an infrastructure system is developed that uses a network representation of the system structure together with a Hidden Markov Model of an attack at a node of that system and a Markov Decision Process model of attacker strategy across the system as a whole. We use information systems as an illustration, but the analytic structure developed can also apply to attacks against physical facilities or other systems that provide services to customers. This structure provides an explicit mechanism to evaluate expected losses from malicious attacks, and to evaluate changes in those losses that would result from system hardening. Thus, we provide a basis for evaluating the benefits of system hardening. The model also allows investigation of the potential for the purchase of an insurance contract to cover the potential losses when safeguards are breached and the system fails.

Physical Description

36 p.

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  • Report No.: SAND2004-0742
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/918740 | External Link
  • Office of Scientific & Technical Information Report Number: 918740
  • Archival Resource Key: ark:/67531/metadc880308

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • March 1, 2004

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Dec. 5, 2016, 3:30 p.m.

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Nozick, Linda Karen (Cornell University, Ithaca, NY); Carlson, Rolf Erik & Turnquist, Mark Alan (Cornell University, Ithaca, NY). Expected losses, insurability, and benefits from reducing vulnerability to attacks., report, March 1, 2004; United States. (digital.library.unt.edu/ark:/67531/metadc880308/: accessed November 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.