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

Open Access

Peer-reviewed

Research Article

About the Authors

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

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

The authors have declared that no competing interests exist.

Machine learning
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Artificial neural networks
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Machine learning algorithms
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Computer security
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Support vector machines
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Computer networks
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Memory recall
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Network analysis
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