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Modeling security in cyber–physical systems

Author

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  • Burmester, Mike
  • Magkos, Emmanouil
  • Chrissikopoulos, Vassilis

Abstract

This paper describes a framework for modeling the security of a cyber–physical system in which the behavior of the adversary is controlled by a threat model that captures – in a unified manner – the cyber aspects (with discrete values) and the physical aspects (with continuous values) of the cyber–physical system. In particular, the framework addresses combined (dependent) vector attacks and synchronization/localization issues. The framework identifies the cyber–physical features that must be protected according to the prevailing security policy. Also, the framework can be used for formal proofs of the security of cyber–physical systems.

Suggested Citation

  • Burmester, Mike & Magkos, Emmanouil & Chrissikopoulos, Vassilis, 2012. "Modeling security in cyber–physical systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 5(3), pages 118-126.
    • Handle: RePEc:eee:ijocip:v:5:y:2012:i:3:p:118-126
    DOI: 10.1016/j.ijcip.2012.08.002
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    References listed on IDEAS

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    1. Akella, Ravi & Tang, Han & McMillin, Bruce M., 2010. "Analysis of information flow security in cyber–physical systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 3(3), pages 157-173.
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    Cited by:

    1. Henriques de Gusmão, Ana Paula & Mendonça Silva, Maisa & Poleto, Thiago & Camara e Silva, Lúcio & Cabral Seixas Costa, Ana Paula, 2018. "Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 43(C), pages 248-260.
    2. Liu, Xiaoxue & Zhang, Jiexin & Zhu, Peidong, 2017. "Modeling cyber-physical attacks based on probabilistic colored Petri nets and mixed-strategy game theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 16(C), pages 13-25.

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