Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments.

Mohammed I, Mahgoub I.

Open source

DOI: 10.3390/s26175441
Published: 2026-08-28
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26175441,
  title = {Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments.},
  author = {Mohammed I and  Mahgoub I.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26175441},
  url = {https://doi.org/10.3390/s26175441}
}

RIS

TY  - JOUR
TI  - Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments.
AU  - Mohammed I
AU  -  Mahgoub I.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26175441
UR  - https://doi.org/10.3390/s26175441
ER  -

APA

I, M., & I., M. (2026). Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments.. Sensors (Basel). https://doi.org/10.3390/s26175441

Source records

europe-pmc · retrieved 2026-09-25T04:03:52.102Z
doaj · retrieved 2026-09-25T04:03:52.090Z