Optimizing multi-class intrusion detection in IIoT: advanced feature selection using grey wolf optimizer and machine learning classifiers.

Al-Shibly I, Burgas L, Massana J

Open source

DOI
10.3389/frai.2026.1932015
Published
2026
Container
Frontiers in artificial intelligence
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/frai.2026.1932015,
  title = {Optimizing multi-class intrusion detection in IIoT: advanced feature selection using grey wolf optimizer and machine learning classifiers.},
  author = {Al-Shibly I and Burgas L and Massana J},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1932015},
  url = {https://doi.org/10.3389/frai.2026.1932015}
}

RIS

TY  - JOUR
TI  - Optimizing multi-class intrusion detection in IIoT: advanced feature selection using grey wolf optimizer and machine learning classifiers.
AU  - Al-Shibly I
AU  - Burgas L
AU  - Massana J
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1932015
UR  - https://doi.org/10.3389/frai.2026.1932015
ER  - 

APA

I, A., L, B., & J, M. (2026). Optimizing multi-class intrusion detection in IIoT: advanced feature selection using grey wolf optimizer and machine learning classifiers.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1932015

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