Patient-Specific Spatio-Temporal False Data Injection Attack Detection for IoMT Using a Graph-GRU Digital Twin and Kalman Innovation Features.
- DOI
- 10.3390/bioengineering13080920
- Published
- 2026 Aug 14
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13080920,
title = {Patient-Specific Spatio-Temporal False Data Injection Attack Detection for IoMT Using a Graph-GRU Digital Twin and Kalman Innovation Features.},
author = {Alkhammash EH and Ghaleb FA and Saeed F and Qasem SN},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13080920},
url = {https://doi.org/10.3390/bioengineering13080920}
}RIS
TY - JOUR TI - Patient-Specific Spatio-Temporal False Data Injection Attack Detection for IoMT Using a Graph-GRU Digital Twin and Kalman Innovation Features. AU - Alkhammash EH AU - Ghaleb FA AU - Saeed F AU - Qasem SN PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13080920 UR - https://doi.org/10.3390/bioengineering13080920 ER -
APA
EH, A., FA, G., F, S., & SN, Q. (2026). Patient-Specific Spatio-Temporal False Data Injection Attack Detection for IoMT Using a Graph-GRU Digital Twin and Kalman Innovation Features.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13080920
Source records
- pubmed · retrieved 2026-09-25T04:00:44.152Z
- europe-pmc · retrieved 2026-09-25T04:00:44.193Z