Adaptive and online network intrusion detection system using clustering and extreme learning machines

DOI10.1016/J.JFRANKLIN.2017.06.006zbMath1395.68040OpenAlexW2734779510WikidataQ58888541 ScholiaQ58888541MaRDI QIDQ1661452

Anton Akusok, Amaury Lendasse, Setareh Roshan, Yoan Miche

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.06.006

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Network design and communication in computer systems (68M10)

Uses Software

• OP-ELM
• KDD Cup

Cites Work

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• Ensemble extreme learning machine and sparse representation classification
• Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation
• Generalized Inverses of Linear Transformations

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