A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection

Anurag Das, Samuel A. Ajila, Chung-Horng Lung

Open source

DOI: 10.1007/978-3-030-45778-5_4
Published: 2020
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-45778-5_4,
  title = {A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection},
  author = {Anurag Das and Samuel A. Ajila and Chung-Horng Lung},
  year = {2020},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-030-45778-5_4},
  url = {https://doi.org/10.1007/978-3-030-45778-5_4}
}

RIS

TY  - JOUR
TI  - A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection
AU  - Anurag Das
AU  - Samuel A. Ajila
AU  - Chung-Horng Lung
PY  - 2020
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-030-45778-5_4
UR  - https://doi.org/10.1007/978-3-030-45778-5_4
ER  -

APA

Das, A., Ajila, S. A., & Lung, C. (2020). A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-45778-5_4

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crossref · retrieved 2026-09-26T08:12:21.913Z