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AI-enabled Real-Time Sensor Attack Detection for Cyber-Physical Systems

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AI Embedded Assurance for Cyber Systems

Abstract

Sensor attacks are a severe threat in cyber-physical systems (CPSs) and may cause serious personal casualties and huge economic losses. Adversaries can even non-invasively launch such sensor attacks without much domain knowledge or expensive equipment. The increasingly large scale and high autonomy in CPSs also emphasizes this issue. The strong need motivates many sensor attack detection methods to defend CPSs. AI-enabled sensor attack detection methods stand out among them because they are suitable for dealing with a large amount of CPS data with temporal and spatial dependencies while not requiring domain-specific knowledge. This chapter introduces the background of CPSs and sensor attacks, and demonstrates the workflow of designing AI-enabled sensor attack detectors. Finally, two case studies show how AI empowers sensor attack detection.

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Acknowledgements

This work will not be possible without the excellent discussions with and support from many of our collaborators and colleagues. In Particular, we would like to thank (in alphabetical order) Prof. Francis Akowuah, Tianjia He, and Prof. Asif Salekin. We would also like to thank our editors and anonymous reviewers for their constructive criticism of the earlier manuscript. This work was supported in part by NSF CNS-2333980.

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Authors and Affiliations

  1. Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA, USA

    Lin Zhang

  2. Department of Computer Science and Engineering, University of Notre Dame, South bend, IN, USA

    Mengyu Liu & Fanxin Kong

Authors
  1. Lin Zhang
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  2. Mengyu Liu
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  3. Fanxin Kong
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Corresponding author

Correspondence to Fanxin Kong .

Editor information

Editors and Affiliations

  1. North Carolina State University, Raleigh, NC, USA

    Cliff Wang

  2. Florida International University, Miami, FL, USA

    S.S. Iyengar

  3. George Mason University, Fairfax, VA, USA

    Kun Sun

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Zhang, L., Liu, M., Kong, F. (2023). AI-enabled Real-Time Sensor Attack Detection for Cyber-Physical Systems. In: Wang, C., Iyengar, S., Sun, K. (eds) AI Embedded Assurance for Cyber Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-42637-7_6

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