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Smart Grid Inspired Future Technologies

SmartGift 2017: Smart Grid Inspired Future Technologies pp 205–211Cite as

A Tool for Evolutionary Threat Analysis of Smart Grids

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Abstract

Cyber-security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. Providing security in such cyber-physical systems means, among other features, identifying threats generated by novel detrimental behaviors. This paper presents a tool based on a methodology that is intended to support city evolution and energy planning with a focus on threats due to novel and existing interconnections among different components. More in detail, we report a tool demonstration which shows the application of a tool devised to (i) deal with security threats arising due to evolutions in a Smart City - intended as a complex cyber-physical system -, and (ii) consequently perform threat analysis.

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Acknowledgments

This work has been partially supported by the projects JPI Urban Europe IRENE, FP7-ICT-2013-10-610535 AMADEOS and FP7-IRSES DEVASSES.

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Authors and Affiliations

  1. University of Florence, Viale Morgagni 65, Florence, Italy

    Tommaso Zoppi, Andrea Ceccarelli & Marco Mori

Authors
  1. Tommaso Zoppi
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  2. Andrea Ceccarelli
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  3. Marco Mori
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Corresponding author

Correspondence to Tommaso Zoppi .

Editor information

Editors and Affiliations

  1. Queen Mary University of London, London, United Kingdom

    Eng Tseng Lau

  2. Queen Mary University of London, London, United Kingdom

    Michael K.K. Chai

  3. Queen Mary University of London, London, United Kingdom

    Yue Chen

  4. Austrian Institute of Technology, Vienna, Austria

    Oliver Jung

  5. University of British Columbia, Vancouver, British Columbia, Canada

    Victor C.M. Leung

  6. University of Essex, Colchester, United Kingdom

    Kun Yang

  7. Austrian Institute of Technology, Vienna, Austria

    Sandford Bessler

  8. Middlesex University London, London, United Kingdom

    Jonathan Loo

  9. University of Tsukuba, Ibaraki, Japan

    Tomonori Nakayama

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zoppi, T., Ceccarelli, A., Mori, M. (2017). A Tool for Evolutionary Threat Analysis of Smart Grids. In: Lau, E., et al. Smart Grid Inspired Future Technologies. SmartGift 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-319-61813-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-61813-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61812-8

  • Online ISBN: 978-3-319-61813-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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