Machine Learning for Detecting DoS Attack: A Comparative Approach

Akwaronwu, B. G., Akwaronwu, I. U., Adeniyi, O. J.

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DOI: 10.52589/bjcnit-i0v0hk0y
Published: 2025-05-30
Container: British Journal of Computer, Networking and Information Technology
Publisher: African - British Journals
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.52589/bjcnit-i0v0hk0y,
  title = {Machine Learning for Detecting DoS Attack: A Comparative Approach},
  author = {Akwaronwu, B. G. and Akwaronwu, I. U. and Adeniyi, O. J.},
  year = {2025},
  journal = {British Journal of Computer, Networking and Information Technology},
  doi = {10.52589/bjcnit-i0v0hk0y},
  url = {https://doi.org/10.52589/bjcnit-i0v0hk0y}
}

RIS

TY  - JOUR
TI  - Machine Learning for Detecting DoS Attack: A Comparative Approach
AU  - Akwaronwu, B. G.
AU  - Akwaronwu, I. U.
AU  - Adeniyi, O. J.
PY  - 2025
JO  - British Journal of Computer, Networking and Information Technology
DO  - 10.52589/bjcnit-i0v0hk0y
UR  - https://doi.org/10.52589/bjcnit-i0v0hk0y
ER  -

APA

G., A. B., U., A. I., & J., A. O. (2025). Machine Learning for Detecting DoS Attack: A Comparative Approach. British Journal of Computer, Networking and Information Technology. https://doi.org/10.52589/bjcnit-i0v0hk0y

Source records

crossref · retrieved 2026-11-10T14:49:16.985Z