Non-IID and aware federated intrusion detection with PBFT with secured model aggregation for multi institutional healthcare internet of things networks
- DOI
- 10.1038/s41598-026-56167-4
- Published
- 2026-06-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56167-4,
title = {Non-IID and aware federated intrusion detection with PBFT with secured model aggregation for multi institutional healthcare internet of things networks},
author = {Sudhakar Sengan and Chin-Shiuh Shieh},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-56167-4},
url = {https://doi.org/10.1038/s41598-026-56167-4}
}RIS
TY - JOUR TI - Non-IID and aware federated intrusion detection with PBFT with secured model aggregation for multi institutional healthcare internet of things networks AU - Sudhakar Sengan AU - Chin-Shiuh Shieh PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-56167-4 UR - https://doi.org/10.1038/s41598-026-56167-4 ER -
APA
Sengan, S., & Shieh, C. (2026). Non-IID and aware federated intrusion detection with PBFT with secured model aggregation for multi institutional healthcare internet of things networks. Scientific Reports. https://doi.org/10.1038/s41598-026-56167-4
Source records
- crossref · retrieved 2026-09-26T00:16:41.776Z