Spatio-temporal graph ConvLSTM with hierarchical personalized federated learning for cooperative zero-day intrusion detection in 6G internet of vehicles.
- DOI
- 10.1038/s41598-026-58600-0
- Published
- 2026 Jun 22
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58600-0,
title = {Spatio-temporal graph ConvLSTM with hierarchical personalized federated learning for cooperative zero-day intrusion detection in 6G internet of vehicles.},
author = {Alghamdi M and Algahtani MA and Abouelkheir E and Ibraheem A and Abdallah A and Almutawa A and Alawad WM},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-58600-0},
url = {https://doi.org/10.1038/s41598-026-58600-0}
}RIS
TY - JOUR TI - Spatio-temporal graph ConvLSTM with hierarchical personalized federated learning for cooperative zero-day intrusion detection in 6G internet of vehicles. AU - Alghamdi M AU - Algahtani MA AU - Abouelkheir E AU - Ibraheem A AU - Abdallah A AU - Almutawa A AU - Alawad WM PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-58600-0 UR - https://doi.org/10.1038/s41598-026-58600-0 ER -
APA
M, A., MA, A., E, A., A, I., A, A., A, A., & WM, A. (2026). Spatio-temporal graph ConvLSTM with hierarchical personalized federated learning for cooperative zero-day intrusion detection in 6G internet of vehicles.. Scientific reports. https://doi.org/10.1038/s41598-026-58600-0
Source records
- pubmed · retrieved 2026-09-26T00:13:32.810Z
- europe-pmc · retrieved 2026-09-26T00:13:32.826Z