Enhancing Network Intrusion Recovery in SDN with machine learning: an innovative approach

Mohamed Hammad, Nabil Hewahi, Wael Elmedany

Open source

DOI: 10.1080/25765299.2023.2261219
Published: 12
Container: Arab Journal of Basic and Applied Sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/25765299.2023.2261219,
  title = {Enhancing Network Intrusion Recovery in SDN with machine learning: an innovative approach},
  author = {Mohamed Hammad and Nabil Hewahi and Wael Elmedany},
  year = {2023},
  journal = {Arab Journal of Basic and Applied Sciences},
  doi = {10.1080/25765299.2023.2261219},
  url = {https://doi.org/10.1080/25765299.2023.2261219}
}

RIS

TY  - JOUR
TI  - Enhancing Network Intrusion Recovery in SDN with machine learning: an innovative approach
AU  - Mohamed Hammad
AU  - Nabil Hewahi
AU  - Wael Elmedany
PY  - 2023
JO  - Arab Journal of Basic and Applied Sciences
DO  - 10.1080/25765299.2023.2261219
UR  - https://doi.org/10.1080/25765299.2023.2261219
ER  -

APA

Hammad, M., Hewahi, N., & Elmedany, W. (2023). Enhancing Network Intrusion Recovery in SDN with machine learning: an innovative approach. Arab Journal of Basic and Applied Sciences. https://doi.org/10.1080/25765299.2023.2261219

Source records

doaj · retrieved 2026-09-27T02:21:53.654Z