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Erschienen in:
Team Knowledge Formation and Evolution Based on Computational Experiment Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Framework for Analyzing Vulnerability of Critical Infrastructures Under Localized Attacks

verfasst von : KeSheng Yan, LiLi Rong, Tao Lu, ZiJian Ni

Erschienen in: Knowledge and Systems Sciences

Verlag: Springer Singapore

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Abstract

Critical infrastructures (CIs) are usually spatially embedded, which makes them more susceptible to localized attacks where a set of components located within a localized area are damaged. This paper presents a framework for analyzing vulnerability of CIs under localized attack. Both functional and geographic interdependencies among CIs are considered. Multi-layer networks are employed to establish the functional interdependency. A novel attack failure model, i.e., localized failure model, is proposed to model geographic interdependency and quantify the failure probabilities of components under localized attack. Vulnerability of CIs is investigated from three perspectives, including analyzing the system-level vulnerability, identifying the critical infrastructure components and geographical locations. Our framework can help stakeholders increase their knowledge of vulnerability of CIs under localized attack and protect them more efficiently.

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Vorheriges Kapitel A Methodology for Problem-Driven Knowledge Acquisition and Its Application
Nächstes Kapitel The Network Topology of the Chinese Creditees
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Metadaten
Titel
A Framework for Analyzing Vulnerability of Critical Infrastructures Under Localized Attacks
verfasst von
KeSheng Yan
LiLi Rong
Tao Lu
ZiJian Ni
Copyright-Jahr
2016
Verlag
Springer Singapore
Buch
Knowledge and Systems Sciences

Print ISBN: 978-981-10-2856-4

Electronic ISBN: 978-981-10-2857-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-981-10-2857-1_8