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Risk and Vulnerability Analysis of Critical Infrastructure

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Intelligent Computing Methodologies (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9773))

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Abstract

A nation’s Critical Infrastructures (CI) is vital to the trustworthy functioning of the economic, health care, and social sectors of the nation. Any disruption to CI will adversely affect the economy, and peaceful functioning of the government. Above all, it will adversely affect the morale and confidence of the citizens. Hence, protecting CI of a nation must be given top priority. Fundamental to protection mechanisms are risk and vulnerability analysis. Based on their outcomes protection mechanisms can be planned, designed, and implemented. In this paper we offer a concise template representation for critical assets, and explain a methodology for vulnerability assessment and risk analysis. We point out the potential role of agents, and deep learning methods in the development and commissioning of future cyber defense solutions.

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Acknowledgement

We thank the reviewers for their insightful comments that helped us to improve the paper to the current form.

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Authors and Affiliations

  1. Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China

    Kaiyu Wan

  2. Concordia University, Montreal, Canada

    Vangalur Alagar

Authors
  1. Kaiyu Wan
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  2. Vangalur Alagar
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Correspondence to Vangalur Alagar .

Editor information

Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. Inha University , Incheon, Korea (Republic of)

    Kyungsook Han

  3. Liverpool John Moores University , Liverpool, United Kingdom

    Abir Hussain

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© 2016 Springer International Publishing Switzerland

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Wan, K., Alagar, V. (2016). Risk and Vulnerability Analysis of Critical Infrastructure. In: Huang, DS., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2016. Lecture Notes in Computer Science(), vol 9773. Springer, Cham. https://doi.org/10.1007/978-3-319-42297-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-42297-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42296-1

  • Online ISBN: 978-3-319-42297-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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