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
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1878260,
  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 = {Frontiers in 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  - Frontiers in 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.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1878260

Source records

pubmed · retrieved 2026-11-10T09:54:00.335Z