Applying Principal Component Analysis for Categorized Dimensionality Reduction in DDoS Detection for Software-Defined Networks.

Balaji K, Balachandra M

DOI: 10.12688/f1000research.163778.2
Published: 2025
Container: F1000Research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.12688/f1000research.163778.2,
  title = {Applying Principal Component Analysis for Categorized Dimensionality Reduction in DDoS Detection for Software-Defined Networks.},
  author = {Balaji K and Balachandra M},
  year = {2025},
  journal = {F1000Research},
  doi = {10.12688/f1000research.163778.2},
  url = {https://doi.org/10.12688/f1000research.163778.2}
}

RIS

TY  - JOUR
TI  - Applying Principal Component Analysis for Categorized Dimensionality Reduction in DDoS Detection for Software-Defined Networks.
AU  - Balaji K
AU  - Balachandra M
PY  - 2025
JO  - F1000Research
DO  - 10.12688/f1000research.163778.2
UR  - https://doi.org/10.12688/f1000research.163778.2
ER  -

APA

K, B., & M, B. (2025). Applying Principal Component Analysis for Categorized Dimensionality Reduction in DDoS Detection for Software-Defined Networks.. F1000Research. https://doi.org/10.12688/f1000research.163778.2

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pubmed · retrieved 2026-09-25T08:13:04.956Z