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Peer-reviewedCC BYSensors (Basel, Switzerland)

AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions

  • Syed Rizwan Hassan1
  • Sadia Din1
  • Muhammad Ismail Mohmand2
  1. 1Department of Computer Engineering, , Seongnam-si 13120, Republic of Korea;
  2. 2School of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul , Istanbul 34408, Turkey
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Cite

BibTeXRIS
BibTeX
@article{hassan2026aidriven,
  title = {{AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions}},
  author = {Syed Rizwan Hassan and Sadia Din and Muhammad Ismail Mohmand},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667682},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions
AU  - Syed Rizwan Hassan
AU  - Sadia Din
AU  - Muhammad Ismail Mohmand
PY  - 2026
DA  - 2026/09/30
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667682
SN  - 1424-8220
ER  -