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Bounding Network Interdiction Vulnerability Through Cutset Identification

In: Critical Infrastructure

Author

Listed:
  • Timothy C. Matisziw

    (The Ohio State University)

  • Alan T. Murray

    (The Ohio State University
    The Ohio State University)

  • Tony H. Grubesic

    (Indiana University)

Abstract

Assessing the vulnerability of network infrastructure to disruptive events is recognized as an important component of network planning and analysis. Motivations for this type of research range from searching for the most effective/ efficient means of disrupting a network (e.g., preventing drug trafficking — see Wood 1993) to assessing possible threats to critical network infrastructures so that adequate protective measures can be devised to limit potential disruption (see Wu 1992). In such analysis, the disruptive activity being examined, whether due to natural disaster, accident, or sabotage, can be generically referred to as network interdiction.

Suggested Citation

  • Timothy C. Matisziw & Alan T. Murray & Tony H. Grubesic, 2007. "Bounding Network Interdiction Vulnerability Through Cutset Identification," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 12, pages 243-256, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-68056-7_12
    DOI: 10.1007/978-3-540-68056-7_12
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    Citations

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    Cited by:

    1. Gokhan Karakose & Ronald G. McGarvey, 2019. "Optimal Detection of Critical Nodes: Improvements to Model Structure and Performance," Networks and Spatial Economics, Springer, vol. 19(1), pages 1-26, March.
    2. Morton O’Kelly, 2015. "Network Hub Structure and Resilience," Networks and Spatial Economics, Springer, vol. 15(2), pages 235-251, June.
    3. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
    4. Emily A. Heath & John E. Mitchell & Thomas C. Sharkey, 2016. "Applying ranking and selection procedures to long-term mitigation for improved network restoration," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 447-481, September.
    5. Timothy Matisziw & Alan Murray & Tony Grubesic, 2010. "Strategic Network Restoration," Networks and Spatial Economics, Springer, vol. 10(3), pages 345-361, September.
    6. Yi‐Ping Fang & Giovanni Sansavini & Enrico Zio, 2019. "An Optimization‐Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1949-1969, September.

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