Abstract
Critical Infrastructures (CIs) have basic traits in common such as large-size, wide-area coverage, complexity and interconnectedness but show significant differences in detail, even when limited to physical-engineered CIs. The challenges for understanding, modeling and analyzing these systems with regard to vulnerability are immense and far away from being resolved. Approaches can be of two types, empirical and predictive, or a combination of both, as they complement each other (Johansson and Hassel 2010). By empirical investigations, previous events are studied in order to understand the behavior of CIs and the (inter)dependencies between them as well as to identify patterns, while predictive approaches aim to model the behavior of single or a group of CIs to find potential high consequence cases and non-obvious vulnerabilities.
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Kröger, W., Zio, E. (2011). Conceptual Frameworks for Vulnerability Assessment. In: Vulnerable Systems. Springer, London. https://doi.org/10.1007/978-0-85729-655-9_5
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DOI: https://doi.org/10.1007/978-0-85729-655-9_5
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