Skip to main content
SpringerLink
Log in

Nonlinear fusion estimation for false data injection attack signals in cyber-physical systems

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Liu L, Ma L F, Zhang J, et al. Sliding mode control for nonlinear Markovian jump systems under denial-of-service attacks. IEEE CAA J Autom Sin, 2019, 7: 1638–1648

    Article  MathSciNet  Google Scholar 

  2. Ding D, Han Q L, Ge X H, et al. Secure state estimation and control of cyber-physical systems: a survey. IEEE Trans Syst Man Cybern Syst, 2021, 51: 176–190

    Article  Google Scholar 

  3. Ge X H, Han Q L, Zhong M Y, et al. Distributed Krein space-based attack detection over sensor networks under deception attacks. Automatica, 2019, 109: 108557

    Article  MathSciNet  MATH  Google Scholar 

  4. Weng P D, Chen B, Yu L. Fusion estimate of FDI attack signals (in Chinese). Acta Autom Sin, 2021, 47: 2292–2300

    Google Scholar 

  5. Gao L J, Chen B, Yu L. Fusion-based FDI attack detection in cyber-physical systems. IEEE Trans Circ Syst II, 2019, 67: 1487–1491

    Google Scholar 

  6. Sun S L, Deng Z L. Multi-sensor optimal information fusion Kalman filter. Automatica, 2004, 40: 1017–1023

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61973277, 62073292) and Zhejiang Provincial Natural Science Foundation of China (Grant Nos. LR20F030004, LY20F020030).

Author information

Authors and Affiliations

  1. Department of Automation, Zhejiang University of Technology, Hangzhou, 310023, China

    Yawen Tan, Pindi Weng, Bo Chen & Li Yu

  2. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, 310023, China

    Yawen Tan, Pindi Weng, Bo Chen & Li Yu

Authors
  1. Yawen Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pindi Weng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bo Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Li Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bo Chen.

Additional information

Supporting information Appendixes A–D. The supporting information is available online at https://info.scichina.com and https://link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, Y., Weng, P., Chen, B. et al. Nonlinear fusion estimation for false data injection attack signals in cyber-physical systems. Sci. China Inf. Sci. 66, 179203 (2023). https://doi.org/10.1007/s11432-021-3428-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-021-3428-y

Search

Navigation