A4 Article in conference proceedings
Adaptive framework for network traffic classification using dimensionality reduction and clustering (2012)


Juvonen, A., & Sipola, T. (2012). Adaptive framework for network traffic classification using dimensionality reduction and clustering. In Y. Koucheryavy, J. Rak, J. P. G. Sterbenz, A. Vinel, V. Vishnevsky, & B. H. Walke (Eds.), IV International Congress on Ultra Modern Telecommunications and Control Systems 2012 (pp. 274-279). IEEE. International Conference on Ultra Modern Telecommunications & workshops. https://doi.org/10.1109/ICUMT.2012.6459678


JYU authors or editors


Publication details

All authors or editors: Juvonen, Antti; Sipola, Tuomo

Parent publication: IV International Congress on Ultra Modern Telecommunications and Control Systems 2012

Parent publication editors: Koucheryavy, Yevgeni; Rak, Jacek; Sterbenz, James P. G.; Vinel, Alexey; Vishnevsky, Vladimir; Walke, Bernhard H.

ISBN: 978-1-4673-2015-3

Journal or series: International Conference on Ultra Modern Telecommunications & workshops

ISSN: 2157-0221

eISSN: 2157-023X

Publication year: 2012

Pages range: 274-279

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/ICUMT.2012.6459678

Persistent website address: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6459678

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/41189


Keywords: data mining; machine learning

Free keywords: anomaly detection; diffusion map; intrusion detection; k-means; n-grams


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2013

JUFO rating: 0


Last updated on 2021-16-07 at 10:42