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Towards Comprehensive Modeling of CPSs to Discover and Study Interdependencies

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Computer Security. ESORICS 2022 International Workshops (ESORICS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13785))

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Abstract

To a large extent, modeling Cyber-Physical systems (CPSs) and interdependency analysis collaborate in the security enhancement of CPSs and form the basis of various research domains such as risk propagation, attack path analysis, reliability analysis, robustness evaluation, and fault identification. Interdependency analysis as well as modeling of interdependent systems such as CPSs rely on the understanding of system dynamics and flows. Despite the major efforts, previously developed methods could not provide the required knowledge as they have either followed data-driven or physics-based modeling approaches. To fill this gap, we propose a new modeling approach called BG2 based on Graph theory and Bond graph. Our proposed method is able to portray the physical process of CPSs from different domains and capture both information and commodity flows. Based on the fundamental characteristics of the Graph theory and Bond graph in the BG2 model, we discover higher order of dependencies in CPSs and analyze causal relationships within the system components. We illustrate the workings of the proposed method by applying it to a realistic case study of a CPS in the energy domain. The results provide valuable insight into the dependencies among the system components and substantiate the applicability of the proposed method in modeling and analyzing interdependent systems.

This work was supported by the Research Council of Norway under project 280617 (Cyber-Physical Security in Energy Infrastructure of Smart Cities - CPSEC) and under project 310105 (Norwegian Centre for Cybersecurity in Critical Sectors - NORCICS).

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Author information

Authors and Affiliations

  1. Norwegian University of Science and Technology, Gjøvik, Norway

    Aida Akbarzadeh & Sokratis Katsikas

Authors
  1. Aida Akbarzadeh
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  2. Sokratis Katsikas
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Corresponding author

Correspondence to Aida Akbarzadeh .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Gjøvik, Norway

    Sokratis Katsikas

  2. Polytechnique Montréal, Montreal, Canada

    Frédéric Cuppens

  3. University of the Aegean, Mytilene, Greece

    Christos Kalloniatis

  4. University of Toronto, Toronto, ON, Canada

    John Mylopoulos

  5. Technical University of Berlin, Berlin, Germany

    Frank Pallas

  6. Alexander von Humboldt Institute for Internet and Society, Berlin, Germany

    Jörg Pohle

  7. Ruhr University Bochum, Bochum, Germany

    M. Angela Sasse

  8. Norwegian Computing Center, Oslo, Norway

    Habtamu Abie

  9. University of Trento, Trento, Italy

    Silvio Ranise

  10. University of Genoa, Genoa, Italy

    Luca Verderame

  11. Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy

    Enrico Cambiaso

  12. Indra, Alcobendas, Spain

    Jorge Maestre Vidal

  13. Indra, Alcobendas, Spain

    Marco Antonio Sotelo Monge

  14. George Mason University, Fairfax, VA, USA

    Massimiliano Albanese

  15. Norwegian University of Science and Technology, Gjøvik, Norway

    Basel Katt

  16. Norwegian Computing Center, Oslo, Norway

    Sandeep Pirbhulal

  17. Institute for Energy Technology, Halden, Norway

    Ankur Shukla

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Akbarzadeh, A., Katsikas, S. (2023). Towards Comprehensive Modeling of CPSs to Discover and Study Interdependencies. In: Katsikas, S., et al. Computer Security. ESORICS 2022 International Workshops. ESORICS 2022. Lecture Notes in Computer Science, vol 13785. Springer, Cham. https://doi.org/10.1007/978-3-031-25460-4_1

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  • DOI: https://doi.org/10.1007/978-3-031-25460-4_1

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