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AI for Cyberbiosecurity in Water Systems—A Survey

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Cyberbiosecurity

Abstract

The use of Artificial Intelligence (AI) is growing in areas where decisions and consequences have high-stakes such as larger scale software, critical infrastructure, and real-time systems. This transition in recent years has been accompanied by the growth of research in AI assurance in fields such as ethical, explainable, and trustworthy AI. In this work, we survey the literature to find the state of AI assurance for cyberbiosecurity systems as they exist now, particularly for water and agricultural supply systems; future directions are also presented. We focus on papers at the intersection of cyberbiosecurity, AI assurance, and water/agricultural supply systems, discuss how assurance techniques improve these systems, and provide pointers for future research into the application of AI for the cyberbiosecurity field. Current cyberbiosecurity solutions do not focus much on AI, but existing AI solutions for water supply and cyber or Cyber-Physical Systems (CPS) exist and can be applied to benefit cyberbiosecurity. The inclusion of AI assurances help alleviate issues of applying AI to high-stakes human-centered infrastructure.

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Acknowledgements

This work was supported in part by funding from Deloitte Touche Tohmatsu Limited.

We acknowledge the Center for Advanced Innovation in Agriculture (CAIA) at Virginia Tech and the Intelligent Systems Division (ISD) at The Hume Center for National Security and Technology, both for their support.

Additionally, a word of thanks to the members of Virginia Tech’s A3 Research Lab (https://ai.bse.vt.edu/) for their inputs and feedback. Lastly, this work would of not been possible without the involvement of Dr. Susan Duncan (may she rest in peace) – to whom we dedicate this work.

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Authors and Affiliations

  1. Hume Center for National Security and Technology, Virginia Tech, Arlington, VA, USA

    Daniel Sobien

  2. Department of Computer Science, Virginia Tech, Blacksburg, VA, USA

    Mehmet O. Yardimci & Wan-Yi Mao

  3. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA

    Minh B. T. Nguyen

  4. Deloitte Touche Tohmatsu Limited, Arlington, VA, USA

    Vinita Fordham & Abdul Rahman

  5. College of Agriculture and Life Sciences, Virginia Tech, Blacksburg, VA, USA

    Susan Duncan

  6. Department of Biological Systems Engineering, Virginia Tech, Arlington, VA, USA

    Feras A. Batarseh

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  1. Daniel Sobien
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  3. Minh B. T. Nguyen
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Correspondence to Feras A. Batarseh .

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  1. Zvi Meitar Institute for Legal Implications of Emerging Technologies, Reichman University, Herzliya, Israel

    Dov Greenbaum

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Sobien, D. et al. (2023). AI for Cyberbiosecurity in Water Systems—A Survey. In: Greenbaum, D. (eds) Cyberbiosecurity. Springer, Cham. https://doi.org/10.1007/978-3-031-26034-6_13

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