Comparative Approaches for Assessing Network Vulnerability

Tony Grubesic, Timothy C. Matisziw, Alan T. Murray and Diane Snediker
Additional contact information
Timothy C. Matisziw: Center for Urban and Regional Analysis, Ohio State University, Columbus, matisziw.1@osu.edu
Alan T. Murray: Center for Urban and Regional Analysis and Department of Geography, Ohio State University, Columbus, murray.308@osu.edu
Diane Snediker: Center for Urban and Regional Analysis and Department of Geography, Ohio State University, Columbus, snediker.3@osu.edu

International Regional Science Review, 2008, vol. 31, issue 1, 88-112

Abstract: A common theme in analysis and evaluation of network-based critical infrastructure is the assessment of system vulnerability. Graph theoretic, simulation, and optimization-based techniques have played a significant role in examining potential network vulnerabilities given the insights they can provide for mitigating facility loss and prioritizing fortification efforts. Central to these approaches is the concept of facility (arc—node) importance or criticality to system survivability. Assessments of network vulnerability can dramatically differ based on how facility importance is characterized. In this review, various approaches for assessing facility importance and network vulnerability are examined. The key differences in these approaches are the ways in which a facility's role in maintaining network operability is evaluated given arc—node disruption. Comparative results suggest significant differences exist among measures of facility importance and network performance. Furthermore, the subsequent incongruities in these measures and their implications need to be clearly understood to support interdiction risk and vulnerability assessment for critical infrastructures.

Keywords: networks; scale-free networks; interdiction; graph theory; critical infrastructure (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0160017607308679 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:31:y:2008:i:1:p:88-112

DOI: 10.1177/0160017607308679

Access Statistics for this article

More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().