A4 Article in conference proceedings
Growing hierarchical self-organizing maps and statistical distribution models for online detection of web attacks (2013)

Zolotukhin, M., Hämäläinen, T., & Juvonen, A. (2013). Growing hierarchical self-organizing maps and statistical distribution models for online detection of web attacks. In Web Information Systems and Technologies. 8th International Conference, WEBIST 2012 (pp. 281-295). Springer Verlag. Lecture Notes in Business Information Processing, 140. https://doi.org/10.1007/978-3-642-36608-6_18

JYU authors or editors

Publication details

All authors or editors: Zolotukhin, Mikhail; Hämäläinen, Timo; Juvonen, Antti

Parent publication: Web Information Systems and Technologies. 8th International Conference, WEBIST 2012

ISBN: 978-3-642-36607-9

Journal or series: Lecture Notes in Business Information Processing

ISSN: 1865-1348

Publication year: 2013

Number in series: 140

Pages range: 281-295

Number of pages in the book: 382

Publisher: Springer Verlag

Publication country: Germany

Publication language: English

DOI: https://doi.org/10.1007/978-3-642-36608-6_18

Publication open access: Not open

Publication channel open access:

Free keywords: anomaly detection; growing hierarchical self-organizing map; intrusion detection; n-Gram; single-linkage clustering

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2014

JUFO rating: 1