A hybrid machine learning approach for detecting DDoS attacks in software-defined networks.

Mahar IA, Aziz K, Chakrabarti P, Ahmed N, Ladan M, Javed Y

DOI: 10.1038/s41598-026-35458-w
Published: 2026 Jan 28
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-35458-w,
  title = {A hybrid machine learning approach for detecting DDoS attacks in software-defined networks.},
  author = {Mahar IA and Aziz K and Chakrabarti P and Ahmed N and Ladan M and Javed Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-35458-w},
  url = {https://doi.org/10.1038/s41598-026-35458-w}
}

RIS

TY  - JOUR
TI  - A hybrid machine learning approach for detecting DDoS attacks in software-defined networks.
AU  - Mahar IA
AU  - Aziz K
AU  - Chakrabarti P
AU  - Ahmed N
AU  - Ladan M
AU  - Javed Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-35458-w
UR  - https://doi.org/10.1038/s41598-026-35458-w
ER  -

APA

IA, M., K, A., P, C., N, A., M, L., & Y, J. (2026). A hybrid machine learning approach for detecting DDoS attacks in software-defined networks.. Scientific reports. https://doi.org/10.1038/s41598-026-35458-w

Source records

pubmed · retrieved 2026-11-10T13:00:06.570Z