A Novel Feature Selection Approach to Classify Intrusion Attacks in Network Communications

Merve Ozkan-Okay, Refik Samet, Ömer Aslan, Selahattin Kosunalp, Teodor Iliev, Ivaylo Stoyanov

Open source

DOI: 10.3390/app131911067
Published: 2023-10-08
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app131911067,
  title = {A Novel Feature Selection Approach to Classify Intrusion Attacks in Network Communications},
  author = {Merve Ozkan-Okay and Refik Samet and Ömer Aslan and Selahattin Kosunalp and Teodor Iliev and Ivaylo Stoyanov},
  year = {2023},
  journal = {Applied Sciences},
  doi = {10.3390/app131911067},
  url = {https://doi.org/10.3390/app131911067}
}

RIS

TY  - JOUR
TI  - A Novel Feature Selection Approach to Classify Intrusion Attacks in Network Communications
AU  - Merve Ozkan-Okay
AU  - Refik Samet
AU  - Ömer Aslan
AU  - Selahattin Kosunalp
AU  - Teodor Iliev
AU  - Ivaylo Stoyanov
PY  - 2023
JO  - Applied Sciences
DO  - 10.3390/app131911067
UR  - https://doi.org/10.3390/app131911067
ER  -

APA

Ozkan-Okay, M., Samet, R., Aslan, Ö., Kosunalp, S., Iliev, T., & Stoyanov, I. (2023). A Novel Feature Selection Approach to Classify Intrusion Attacks in Network Communications. Applied Sciences. https://doi.org/10.3390/app131911067

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crossref · retrieved 2026-09-24T20:07:41.819Z