Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach.

Özmen G, Yiltas-Kaplan D

DOI: 10.3390/s26113578
Published: 2026 Jun 4
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26113578,
  title = {Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach.},
  author = {Özmen G and Yiltas-Kaplan D},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26113578},
  url = {https://doi.org/10.3390/s26113578}
}

RIS

TY  - JOUR
TI  - Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach.
AU  - Özmen G
AU  - Yiltas-Kaplan D
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26113578
UR  - https://doi.org/10.3390/s26113578
ER  -

APA

G, Ö., & D, Y. (2026). Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26113578

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pubmed · retrieved 2026-09-25T02:38:23.317Z