A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions.

Reddy DS, Kumar KA.

DOI: 10.3389/fdata.2026.1878260
Published: 2026-07-10
Container: Front Big Data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1878260,
  title = {A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions.},
  author = {Reddy DS and  Kumar KA.},
  year = {2026},
  journal = {Front Big Data},
  doi = {10.3389/fdata.2026.1878260},
  url = {https://doi.org/10.3389/fdata.2026.1878260}
}

RIS

TY  - JOUR
TI  - A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions.
AU  - Reddy DS
AU  -  Kumar KA.
PY  - 2026
JO  - Front Big Data
DO  - 10.3389/fdata.2026.1878260
UR  - https://doi.org/10.3389/fdata.2026.1878260
ER  -

APA

DS, R., & KA., K. (2026). A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions.. Front Big Data. https://doi.org/10.3389/fdata.2026.1878260

Source records

europe-pmc · retrieved 2026-09-24T21:46:33.544Z