A novel attention-based feature learning and optimal deep learning approach for network intrusion detection

K. Sakthi, P. Nirmal Kumar

DOI: 10.3233/jifs-231758
Published: 2023-08-24
Container: Journal of Intelligent & Fuzzy Systems
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/jifs-231758,
  title = {A novel attention-based feature learning and optimal deep learning approach for network intrusion detection},
  author = {K. Sakthi and P. Nirmal Kumar},
  year = {2023},
  journal = {Journal of Intelligent \&amp; Fuzzy Systems},
  doi = {10.3233/jifs-231758},
  url = {https://doi.org/10.3233/jifs-231758}
}

RIS

TY  - JOUR
TI  - A novel attention-based feature learning and optimal deep learning approach for network intrusion detection
AU  - K. Sakthi
AU  - P. Nirmal Kumar
PY  - 2023
JO  - Journal of Intelligent &amp; Fuzzy Systems
DO  - 10.3233/jifs-231758
UR  - https://doi.org/10.3233/jifs-231758
ER  -

APA

Sakthi, K., & Kumar, P. N. (2023). A novel attention-based feature learning and optimal deep learning approach for network intrusion detection. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-231758

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crossref · retrieved 2026-09-25T02:21:44.101Z