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Modelling Cyber-Physical Security in Healthcare Systems

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Intelligent Information Systems (CAiSE 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 424))

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Abstract

Health organizations are critical cyber-physical infrastructures. By relying on last technological advances, healthcare organizations are now able to provide more personalized services through open and controlled platforms. Unfortunately, these new technologies that rely on common communication interfaces and standards, enhance security breaches and exposes hospitals to several threats.

The paper presents an ontology that allows (1) modelling cyber-physical security concepts in healthcare systems and (2) helps designing incidents propagation mechanisms by focusing on cyber-physical interactions among critical assets.

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Notes

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    https://cve.mitre.org/.

  2. 2.

    https://www.first.org/cvss/.

  3. 3.

    https://capec.mitre.org/index.html.

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Acknowledgment

This work is part of the SAFECARE project. This project has received funding as part of the "Secure societies – Protecting freedom and security of Europe and its citizens", challenge of the Horizon 2020 Research and Innovation program of the European Union, under grant agreement 787002.

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Authors and Affiliations

  1. CEDRIC, Conservatoire National des Arts et Métiers (CNAM), Paris, France

    Fatma-Zohra Hannou, Faten Atigui, Nadira Lammari & Samira Si-said Cherfi

Authors
  1. Fatma-Zohra Hannou
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  2. Faten Atigui
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  3. Nadira Lammari
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  4. Samira Si-said Cherfi
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Corresponding author

Correspondence to Samira Si-said Cherfi .

Editor information

Editors and Affiliations

  1. University of Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

  2. Swinburne University of Technology, Melbourne, VIC, Australia

    Axel Korthaus

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Hannou, FZ., Atigui, F., Lammari, N., Cherfi, S.Ss. (2021). Modelling Cyber-Physical Security in Healthcare Systems. In: Nurcan, S., Korthaus, A. (eds) Intelligent Information Systems. CAiSE 2021. Lecture Notes in Business Information Processing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-79108-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-79108-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79107-0

  • Online ISBN: 978-3-030-79108-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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