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A contribution of axiomatic design principles to the analysis and impact of attacks on critical infrastructures

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  • Palleti, Venkata Reddy
  • Joseph, Jude Victor
  • Silva, Arlindo

Abstract

Critical infrastructures (CIs) such as water, power, and transportation etc. are pivotal as they play a significant role in a nation’s economic prosperity and governance. These critical infrastructures are complex in nature and therefore they may be vulnerable to attacks. In order to have effective critical infrastructure protection, it is necessary to develop models for CIs. Further, one can use these models for system security analysis and assess the impact on CIs when they are under attacks. In this work, axiomatic design theory principles from systems design are used to model CIs. This modeling provides an abstract representation of critical infrastructures to understand their behavior under potential attacks. Through a case study, we will show how one can assess the detection of attacks and vulnerabilities using axiomatic design principles. A realistic water distribution testbed is used for the purpose of studying the impact of attacks using axiomatic design principles.

Suggested Citation

  • Palleti, Venkata Reddy & Joseph, Jude Victor & Silva, Arlindo, 2018. "A contribution of axiomatic design principles to the analysis and impact of attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 21-32.
  • Handle: RePEc:eee:ijocip:v:23:y:2018:i:c:p:21-32
    DOI: 10.1016/j.ijcip.2018.08.007
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    References listed on IDEAS

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    Cited by:

    1. Mishra, Vishrut Kumar & Palleti, Venkata Reddy & Mathur, Aditya, 2019. "A modeling framework for critical infrastructure and its application in detecting cyber-attacks on a water distribution system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    2. Noureddine Dahmani & Amine Belhadi & Khalid Benhida & Said Elfezazi & Fatima Ezahra Touriki & Yassine Azougagh, 2022. "Integrating lean design and eco-design to improve product design: From literature review to an operational framework," Energy & Environment, , vol. 33(1), pages 189-219, February.
    3. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    4. Wang, Fei & Zheng, Xia-zhong & Li, Nan & Shen, Xuesong, 2019. "Systemic vulnerability assessment of urban water distribution networks considering failure scenario uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).

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