Presentation 2012-06-22
A High-Speed Classification Method based on Opcode of Malware
Yang ZHONG, Hirofumi YAMAKI, Yukiko YAMAGUCHI, Hiroki TAKAKURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Malicious software in form of Internet worms, computer viruses, and trojan horses poses a major threat to the security of network systems. Identification of malware variants provides great benefit in early detection. However, in recent years, it is hard to analyze the all malware programs by manual because of the explanation of malicious program variants which avoid the detection of anti-virus by changing a part of the original malware program code. Taking into account that variants of malware families share similar functions reflecting its origin and purpose, we propose a method focusing on opcodes of functions that a malware program consists of. In our method, the feature database is created based on the analysis of known malware programs, and functions in unknown programs are compared to the opcodes of the database to determine the program belong to what family. To decrease the cost of the calculation of similarity, we use a filtering algorithm to filter out functions which have small influence in determining the family. We evaluated the approach using 46 categorized malware samples and 178 malware samples to be classified. In the experiment, it is shown that our approach effectively reduce the time for calculation while the accuracy is not deteriorated too much.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) malware / static analysis / disassembly / function estimate
Paper # IA2012-8,ICSS2012-8
Date of Issue

Conference Information
Committee ICSS
Conference Date 2012/6/14(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 and Communication System Security (ICSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A High-Speed Classification Method based on Opcode of Malware
Sub Title (in English)
Keyword(1) malware
Keyword(2) static analysis
Keyword(3) disassembly
Keyword(4) function estimate
1st Author's Name Yang ZHONG
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Hirofumi YAMAKI
2nd Author's Affiliation Information Technology Center, Nagoya University
3rd Author's Name Yukiko YAMAGUCHI
3rd Author's Affiliation Information Technology Center, Nagoya University
4th Author's Name Hiroki TAKAKURA
4th Author's Affiliation Information Technology Center, Nagoya University
Date 2012-06-22
Paper # IA2012-8,ICSS2012-8
Volume (vol) vol.112
Number (no) 91
Page pp.pp.-
#Pages 6
Date of Issue