Presentation 2011-07-26
A visualization method of Windows OS malware using SOM
Ruo ANDO,
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Abstract(in English) As commodity OS has compound funcions and utilities, malware's behavisor has become complicated. In security incident analysis, we need to specify the malware without detailed information about structre and parameter. SOM (self organization map) is an algorithm of nonsupervised and makes it possible to analyze the malware without expensive preprocessing. In this paper we propose an interdomain communication protocol of XEN virtual machine by involing emit instruction. DomainU can convey information to hypervisor using virtual CPU context in an arbitrary point of Windows kernel by generating hypercall. In experiment, a security incident log of virtualized Windows OS is transferred to hypervisor of which log is visualized by self organization map. We show the result of classification of both dynamic and static log of malware.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self organization map / analyzing malware / virtualization / static log / behavior log
Paper # NC2011-40
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Committee NC
Conference Date 2011/7/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A visualization method of Windows OS malware using SOM
Sub Title (in English)
Keyword(1) Self organization map
Keyword(2) analyzing malware
Keyword(3) virtualization
Keyword(4) static log
Keyword(5) behavior log
1st Author's Name Ruo ANDO
1st Author's Affiliation National Institute of Information and Communications Technology, Information Security Research Center()
Date 2011-07-26
Paper # NC2011-40
Volume (vol) vol.111
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue