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Analysis of information flow security in cyber–physical systems

Author

Listed:
  • Akella, Ravi
  • Tang, Han
  • McMillin, Bruce M.

Abstract

Information flow is a fundamental concept underlying the security of a system. Confidentiality of information in a system can be breached through unrestricted information flow. Physical components added to a cyber system considerably increase the difficulty of determining information flow and the difficulty of mitigating the corresponding confidentiality problem. Fundamentally, physical actions inherently divulge information through simple observation. This work applies classical models of non-deducibility and non-inference to cyber–physical systems (CPSs) to determine information flow in the coupled cyber and physical worlds. The results demonstrate that the combined physical and cyber properties of a CPS can both protect and divulge information. The key to formalizing this analysis is to find a uniform semantic representation of the cyber and physical components, their interaction, and the physics of the system, and to devise a formal modeling technique for determining information flow.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ijocip:v:3:y:2010:i:3:p:157-173
    DOI: 10.1016/j.ijcip.2010.09.001
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    Cited by:

    1. 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.
    2. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Tavakkoli, Sakineh & Macknick, Jordan & Heath, Garvin A. & Jordaan, Sarah M., 2021. "Spatiotemporal energy infrastructure datasets for the United States: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. William Derigent & Olivier Cardin & Damien Trentesaux, 2021. "Industry 4.0: contributions of holonic manufacturing control architectures and future challenges," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1797-1818, October.

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