• DocumentCode
    2701451
  • Title

    Special Nuclear material and critical infrastructure security modeling and simulation of physical protection systems

  • Author

    Dominguez, Dean ; Parks, Mancel Jordan ; Williams, Adam D. ; Washburn, Susan

  • Author_Institution
    Int. Nucl. Security Eng., Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    10
  • Lastpage
    14
  • Abstract
    Over the last decade, the world has faced a rapidly expanding and dynamic threat environment. As demonstrated by the 9/11 and 26/11 terrorist attacks, adversary capabilities have evolved to include advanced tactics and increased militancy. For the Department of Energy´s National Nuclear Security Administration (DOE/NNSA), and other organizations responsible for protecting facilities housing special nuclear materials, this fragile mix of global uncertainty makes nuclear weapon security an important challenge. Sandia, using scientific and mathematic methodologies, is considered one of the world leaders in the design and implementation of physical protection systems (PPS) and VA methodology, in order to reduce the risk to both domestic and international high consequence facilities. Using the Presagis commercial software suite - primarily Scenario Toolkit and Generation Environment (STAGE), a complex simulation engine - the authors have developed a single analyst, Monte Carlo derived, agent decision-based, and event-driven interactive tool to help meet this need. Evaluating risk reduction for critical infrastructure against increasingly complex adversaries requires high fidelity VA modeling tools. Advanced adversary capabilities require modeling complex scenario variables, including multiple attack vectors and dynamically selected targets of opportunity. Large threat profiles with complex character behavior are needed for increasing adversary militancy. Coupled with Sandia methodology, the strength of the tool stems from the decision logic structure and built-in artificial intelligence components. STAGE allows for an inclusive command and control VA model that uses all traditional elements of a PPS (detection, communication, assessment, delay, command and control, response, interdiction, attrition, and neutralization). This paper will briefly describe the effect that the current threat environment has had on the VA process and then outline the role of STAGE in VA mode- ing and new threat reduction methodology. This paper also provides an update to the development of the STAGE tool, as well as a description of future plans to advance VA methodology and integrate STAGE simulation analysis with an existing physical site (the Integrated Security Facility at Sandia - a former Category I facility).
  • Keywords
    Monte Carlo methods; critical infrastructures; discrete event simulation; military computing; national security; nuclear materials safeguards; software agents; terrorism; weapons; Monte Carlo derived method; agent decision based tool; critical infrastructure security modeling; department of energy; event driven interactive tool; integrated security facility; national nuclear security administration; nuclear weapon security; physical protection systems; presagis commercial software suite; primarily scenario toolkit and generation environment; simulation engine; special nuclear material security modeling; terrorist attacks; vulnerability assessment methodology; Adaptation models; Analytical models; Computational modeling; Materials; Security; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2012 IEEE International Carnahan Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    1071-6572
  • Print_ISBN
    978-1-4673-2450-2
  • Electronic_ISBN
    1071-6572
  • Type

    conf

  • DOI
    10.1109/CCST.2012.6393531
  • Filename
    6393531