A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis

R.W.K.S. Wijethilaka, Kanishka Yapa, Deemantha Siriwardena

Open source

DOI: 10.1371/journal.pone.0331123
Published: 2025-12-29
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0331123,
  title = {A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis},
  author = {R.W.K.S. Wijethilaka and Kanishka Yapa and Deemantha Siriwardena},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0331123},
  url = {https://doi.org/10.1371/journal.pone.0331123}
}

RIS

TY  - JOUR
TI  - A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis
AU  - R.W.K.S. Wijethilaka
AU  - Kanishka Yapa
AU  - Deemantha Siriwardena
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0331123
UR  - https://doi.org/10.1371/journal.pone.0331123
ER  -

APA

Wijethilaka, R., Yapa, K., & Siriwardena, D. (2025). A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis. PLOS One. https://doi.org/10.1371/journal.pone.0331123

Source records

crossref · retrieved 2026-11-08T04:21:30.069Z