A Detailed Inspection of Machine Learning Based Intrusion Detection Systems for Software Defined Networks

Saif AlDeen AlSharman, Osama Al-Khaleel, Mahmoud Al-Ayyoub

Open source

DOI: 10.3390/iot5040034
Published: 2024-11-11
Container: IoT
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/iot5040034,
  title = {A Detailed Inspection of Machine Learning Based Intrusion Detection Systems for Software Defined Networks},
  author = {Saif AlDeen AlSharman and Osama Al-Khaleel and Mahmoud Al-Ayyoub},
  year = {2024},
  journal = {IoT},
  doi = {10.3390/iot5040034},
  url = {https://doi.org/10.3390/iot5040034}
}

RIS

TY  - JOUR
TI  - A Detailed Inspection of Machine Learning Based Intrusion Detection Systems for Software Defined Networks
AU  - Saif AlDeen AlSharman
AU  - Osama Al-Khaleel
AU  - Mahmoud Al-Ayyoub
PY  - 2024
JO  - IoT
DO  - 10.3390/iot5040034
UR  - https://doi.org/10.3390/iot5040034
ER  -

APA

AlSharman, S. A., Al-Khaleel, O., & Al-Ayyoub, M. (2024). A Detailed Inspection of Machine Learning Based Intrusion Detection Systems for Software Defined Networks. IoT. https://doi.org/10.3390/iot5040034

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crossref · retrieved 2026-11-03T16:48:25.875Z