A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks.

Singhal S, Kumar KA

DOI: 10.3389/fdata.2026.1878242
Published: 2026
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1878242,
  title = {A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks.},
  author = {Singhal S and Kumar KA},
  year = {2026},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2026.1878242},
  url = {https://doi.org/10.3389/fdata.2026.1878242}
}

RIS

TY  - JOUR
TI  - A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks.
AU  - Singhal S
AU  - Kumar KA
PY  - 2026
JO  - Frontiers in big data
DO  - 10.3389/fdata.2026.1878242
UR  - https://doi.org/10.3389/fdata.2026.1878242
ER  -

APA

S, S., & KA, K. (2026). A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1878242

Source records

pubmed · retrieved 2026-09-25T00:55:30.526Z