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Proceedings Paper

Recommendation-based geovisualization support for reconstitution in critical infrastructure protection
Author(s): David C. Wilson; Okan Pala; William J. Tolone; Wei-Ning Xiang
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Paper Abstract

Protecting critical infrastructure systems, such as electrical power grids, has become a primary concern for many governments and organizations across a variety of stakeholder perspectives. Critical infrastructures involve multidimensional, highly complex collections of technologies, processes, and people, and as such, are vulnerable to potentially catastrophic failures on many levels. Moreover, cross-infrastructure dependencies can give rise to cascading effects with escalating impact across multiple infrastructures. Critical infrastructure protection involves both safeguarding against potential disaster scenarios and effective response in the aftermath of infrastructure failure. Our research is developing innovative approaches to modeling critical infrastructures in order to support decision-making during reconstitution efforts in response to infrastructure disruptions. By modeling the impact of infrastructure elements, both within and across infrastructures, we can recommend focus areas for reconstitution resources across different stakeholders in the context of their current goals. An interactive geovisualization interface provides a natural context for this infrastructure analysis support. This paper presents an overview of our approach and the GIS modeling environment under development for decision support in critical infrastructure reconstitution.

Paper Details

Date Published: 28 April 2009
PDF: 12 pages
Proc. SPIE 7346, Visual Analytics for Homeland Defense and Security, 734602 (28 April 2009); doi: 10.1117/12.818718
Show Author Affiliations
David C. Wilson, Univ. of North Carolina at Charlotte (United States)
Okan Pala, Univ. of North Carolina at Charlotte (United States)
William J. Tolone, Univ. of North Carolina at Charlotte (United States)
Wei-Ning Xiang, Univ. of North Carolina at Charlotte (United States)

Published in SPIE Proceedings Vol. 7346:
Visual Analytics for Homeland Defense and Security
William J. Tolone; William Ribarsky, Editor(s)

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