• DocumentCode
    2588015
  • Title

    State/local CIP risk analysis: First results and emerging trends in the data

  • Author

    Daniels, David ; Ware, Bryan

  • Author_Institution
    Digital Sandbox, Inc., McLean, VA, USA
  • fYear
    2009
  • fDate
    11-12 May 2009
  • Firstpage
    393
  • Lastpage
    400
  • Abstract
    Digital Sandbox, Inc. has conducted a number of scenario-based analyses of the risks facing individual states and urban areas from terrorist attack. This paper reports on the common features in the distributions of risk to critical infrastructure in the studied areas. In addition, three metrics (population, a population-and-density-based-index, and gross domestic product) are compared to the measured asset risk distributions at the county level. We find that none of these measures provides a good match to the measured asset risk distributions. We conclude that jurisdictions should strive to find ways to simplify the direct measurement of scenario-based asset risk, rather than relying on simple heuristics, when making risk-reduction investment decisions.
  • Keywords
    national security; risk analysis; statistical distributions; terrorism; Digital Sandbox Inc; asset risk distributions; critical infrastructure; risk analysis; risk distributions; risk-reduction investment decisions; scenario-based analyses; terrorist attack; urban areas; Aggregates; Economic indicators; Hazards; Investments; Protection; Resource management; Risk analysis; Risk management; Terrorism; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Homeland Security, 2009. HST '09. IEEE Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-4178-5
  • Type

    conf

  • DOI
    10.1109/THS.2009.5168064
  • Filename
    5168064