Presentation 2009-11-13
A Consideration of Feature Extraction for Attacks on Darknet
Yoshiro FUKUSHIMA, Yoshiaki HORI, Kouichi SAKURAI,
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Abstract(in English) Network monitoring is very important to early detect and defend the threats in the Internet caused by worm's scanning activities and DDoS attacks. However, it is difficult to detect the subtle attacks which send only a few packets because these small traffic are missed by other traffic. Moreover, it is said that attacks by recent botnets are carried out on a small scale, so it is important to detect and analyze such the subtle attacks. In this paper, we propose the method which focuses on the average number of packets sent by a source address and its frequency of appearances. Besides, we apply our proposal to the traffic observed in darknet, and we consider the result by cluster analysis to the obtained result.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Darknet Monitoring / Incident Detection / Slow Scan Detection / Botnet / Cluster Analysis
Paper # ICSS2009-60
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Conference Information
Committee ICSS
Conference Date 2009/11/6(1days)
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Paper Information
Registration To Information and Communication System Security (ICSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Consideration of Feature Extraction for Attacks on Darknet
Sub Title (in English)
Keyword(1) Darknet Monitoring
Keyword(2) Incident Detection
Keyword(3) Slow Scan Detection
Keyword(4) Botnet
Keyword(5) Cluster Analysis
1st Author's Name Yoshiro FUKUSHIMA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Faculty of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name Yoshiaki HORI
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Faculty of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Kouichi SAKURAI
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University:Faculty of Information Science and Electrical Engineering, Kyushu University
Date 2009-11-13
Paper # ICSS2009-60
Volume (vol) vol.109
Number (no) 285
Page pp.pp.-
#Pages 6
Date of Issue