Presentation 2011-06-17
A Profiling Method of Attacking Hosts based on Scan Feature Extraction
Masashi ETO, Yaichiro TAKAGI, Jungsuk SONG, Daisuke INOUE, Koji NAKAO,
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Abstract(in English) In order to rapidly response against the network incidents observed in a global network monitoring system, it is important to recognize a specific malware specimen that induced the incident. To satisfy this requirement, this paper proposes a scan profiling method that focuses on the total count, interval, port number of packets incoming from individual attacking hosts so that we can derive the similarities among attacking hosts. Additionally, this paper discusses a method to cluster a number of attacking hosts with employing the scan profiler as a distance function of the clustering. Through some experimentations using practical data observed in our network monitoring system, we try to grasp the trend of malware activities in the Internet.
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Keyword(in English) Network Incident / Malware / Correlation Analysis / Clustering
Paper # IA2011-4,ICSS2011-4
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Committee IA
Conference Date 2011/6/9(1days)
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Registration To Internet Architecture(IA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Profiling Method of Attacking Hosts based on Scan Feature Extraction
Sub Title (in English)
Keyword(1) Network Incident
Keyword(2) Malware
Keyword(3) Correlation Analysis
Keyword(4) Clustering
1st Author's Name Masashi ETO
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Yaichiro TAKAGI
2nd Author's Affiliation National Institute of Information and Communications Technology
3rd Author's Name Jungsuk SONG
3rd Author's Affiliation National Institute of Information and Communications Technology
4th Author's Name Daisuke INOUE
4th Author's Affiliation National Institute of Information and Communications Technology
5th Author's Name Koji NAKAO
5th Author's Affiliation National Institute of Information and Communications Technology
Date 2011-06-17
Paper # IA2011-4,ICSS2011-4
Volume (vol) vol.111
Number (no) 81
Page pp.pp.-
#Pages 6
Date of Issue