AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions.

Singhal S, Kumar KA

DOI: 10.3389/fdata.2026.1938279
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.2026.1938279,
  title = {AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions.},
  author = {Singhal S and Kumar KA},
  year = {2026},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2026.1938279},
  url = {https://doi.org/10.3389/fdata.2026.1938279}
}

RIS

TY  - JOUR
TI  - AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions.
AU  - Singhal S
AU  - Kumar KA
PY  - 2026
JO  - Frontiers in big data
DO  - 10.3389/fdata.2026.1938279
UR  - https://doi.org/10.3389/fdata.2026.1938279
ER  -

APA

S, S., & KA, K. (2026). AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1938279

Source records

pubmed · retrieved 2026-09-24T21:48:00.275Z