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Open Access

Peer-reviewed

Research Article

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

R.W.K.S. Wijethilaka ,

Contributed equally to this work with: R.W.K.S. Wijethilaka

Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft

Affiliation Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
⨯
Kanishka Yapa,

Roles Conceptualization, Supervision, Validation

Affiliation Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
⨯
Deemantha Siriwardena

Roles Conceptualization, Project administration, Validation, Writing – review & editing

* E-mail: deemantha.s@sliit.lk

Affiliation Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

https://orcid.org/0000-0003-1520-0382

⨯

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

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Published: December 29, 2025
https://doi.org/10.1371/journal.pone.0331123

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