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Paper Abstract and Keywords
Presentation 2015-03-04 15:55
Evaluation on Malware Classification by Combining Traffic Analysis and Fuzzy Hashing of Malware Binary
Shohei Hiruta, Yukiko Yamaguchi, Hajime Shimada, Hiroki Takakura (Nagoya Univ.) ICSS2014-96
Abstract (in Japanese) (See Japanese page) 
(in English) Recent cyber attacks frequently use variants of malware programs where existing functions are drastically improved and new functions are developed. In addition to obfuscation and encryption, many malware programs change their behavior by examining their execution environment. They cannot be classified to appropriate families only by static analysis. Efficient methods are required in order to fight against huge amounts of malware programs with reducing expensive cost of manual analysis. In this paper, we propose unified approach of dynamic traffic analysis and static program analysis. Similar to other conventional methods, the former performs feature extraction, clustering and labeling to represent traffic data as sequence of characters. Then Fuzzy Hash adjusts the length of the sequence for similarity calculation. The latter applies Fuzzy Hash to malware programs. From the experimental results by using 340 malware samples and their traffic data, our method can correctly identify 58.4% of malware.
Keyword (in Japanese) (See Japanese page) 
(in English) Malware classification / Static analysis / Dynamic analysis / Similarity Measure / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 489, ICSS2014-96, pp. 199-204, March 2015.
Paper # ICSS2014-96 
Date of Issue 2015-02-24 (ICSS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICSS  
Conference Date 2015-03-03 - 2015-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Meio Univiersity 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2015-03-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation on Malware Classification by Combining Traffic Analysis and Fuzzy Hashing of Malware Binary 
Sub Title (in English)  
Keyword(1) Malware classification  
Keyword(2) Static analysis  
Keyword(3) Dynamic analysis  
Keyword(4) Similarity Measure  
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1st Author's Name Shohei Hiruta  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yukiko Yamaguchi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Hajime Shimada  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Hiroki Takakura  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2015-03-04 15:55:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2014-96 
Volume (vol) vol.114 
Number (no) no.489 
Page pp.199-204 
#Pages
Date of Issue 2015-02-24 (ICSS) 


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