Defending Against State-Inducing Spoofing Attacks in Intelligent Connected Vehicles: A Real-Time Temporal Feature Fusion Framework.

Dong C, Wu H, Li C

DOI: 10.3390/s26154758
Published: 2026 Jul 27
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26154758,
  title = {Defending Against State-Inducing Spoofing Attacks in Intelligent Connected Vehicles: A Real-Time Temporal Feature Fusion Framework.},
  author = {Dong C and Wu H and Li C},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26154758},
  url = {https://doi.org/10.3390/s26154758}
}

RIS

TY  - JOUR
TI  - Defending Against State-Inducing Spoofing Attacks in Intelligent Connected Vehicles: A Real-Time Temporal Feature Fusion Framework.
AU  - Dong C
AU  - Wu H
AU  - Li C
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26154758
UR  - https://doi.org/10.3390/s26154758
ER  -

APA

C, D., H, W., & C, L. (2026). Defending Against State-Inducing Spoofing Attacks in Intelligent Connected Vehicles: A Real-Time Temporal Feature Fusion Framework.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26154758

Source records

pubmed · retrieved 2026-09-27T09:26:04.009Z