Presentation 2015-03-03
Bonnet Detection Using Anomaly Detection Based on Sparse Structure Learning
Shu MUKAI, Yuki KAWAMURA, Masanori KAWAKITA, Jun'ichi TAKEUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, damages caused by botnet become a major problem in the Internet. Hamasaki et al. paid attention to cooperative relationship between hosts using darknet data, and developed a botnet detection engine using anomaly detection based on sparse structure learning. Although this engine could detect botnets, there were some problems in this engine. In this paper, we propose solutions to those problems, including visualization of the cooperative relationship affected hosts. Further, we show analysis results of recent real data by our method, in which some botnets were detected.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) botnet / darknet / sparse structure learning / moving average
Paper # IT2014-92,ISEC2014-105,WBS2014-84
Date of Issue

Conference Information
Committee ISEC
Conference Date 2015/2/23(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bonnet Detection Using Anomaly Detection Based on Sparse Structure Learning
Sub Title (in English)
Keyword(1) botnet
Keyword(2) darknet
Keyword(3) sparse structure learning
Keyword(4) moving average
1st Author's Name Shu MUKAI
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Institute of Systems, Information Technologies and Nanotechnologies (ISIT)()
2nd Author's Name Yuki KAWAMURA
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Institute of Systems, Information Technologies and Nanotechnologies (ISIT)
3rd Author's Name Masanori KAWAKITA
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Institute of Systems, Information Technologies and Nanotechnologies (ISIT)
4th Author's Name Jun'ichi TAKEUCHI
4th Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Institute of Systems, Information Technologies and Nanotechnologies (ISIT)
Date 2015-03-03
Paper # IT2014-92,ISEC2014-105,WBS2014-84
Volume (vol) vol.114
Number (no) 471
Page pp.pp.-
#Pages 6
Date of Issue