A Lightweight Sequential AI Framework for Real Time Intrusion Detection in Dynamic Vehicular Networks.

Jeyaram G, Vidhya V, Dhanaraj RK, Alabdultif A

DOI: 10.1038/s41598-026-36103-2
Published: 2026 Jan 14
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-36103-2,
  title = {A Lightweight Sequential AI Framework for Real Time Intrusion Detection in Dynamic Vehicular Networks.},
  author = {Jeyaram G and Vidhya V and Dhanaraj RK and Alabdultif A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-36103-2},
  url = {https://doi.org/10.1038/s41598-026-36103-2}
}

RIS

TY  - JOUR
TI  - A Lightweight Sequential AI Framework for Real Time Intrusion Detection in Dynamic Vehicular Networks.
AU  - Jeyaram G
AU  - Vidhya V
AU  - Dhanaraj RK
AU  - Alabdultif A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-36103-2
UR  - https://doi.org/10.1038/s41598-026-36103-2
ER  -

APA

G, J., V, V., RK, D., & A, A. (2026). A Lightweight Sequential AI Framework for Real Time Intrusion Detection in Dynamic Vehicular Networks.. Scientific reports. https://doi.org/10.1038/s41598-026-36103-2

Source records

pubmed · retrieved 2026-09-26T15:14:57.304Z