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Paper Abstract and Keywords
Presentation 2012-11-22 11:10
A classification method of application traffic in encrypted tunnel using SVM
Nguyen Thanh Tuan, Yasuhiro Nakamura (NDA) ISEC2012-64 LOIS2012-39
Abstract (in Japanese) (See Japanese page) 
(in English) Curently, research on classification of application traffic which use the result of monitoring network traffic with encrypted payload of packet has been proposed. They identify network traffic using methods that compare the characteristics of transmission and reception of unknown application flow and the known applications flow. However, in the case of network traffic of encrypted tunnel, it is difficult to split flow, packet transmission is delayed on the route and the changes in the behavior of each application is destabilizing. Thus, stable and hight accuracy idenification has been difficult. In this report, we extracted the feature vectors that eliminated influence of the delay on the Internet. We based on SVM(Support Vector Machines), one of the most promising Machine Learning(ML) tools, for apply to the problem of traffic classification in encrypted tunnel. Validation experiments result showed hight accuracy 90% ~ 97%, although use only about 2 ~ 5 feature vectors.
Keyword (in Japanese) (See Japanese page) 
(in English) SVM / Network traffic / Classification / Application / Encryption / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 305, ISEC2012-64, pp. 47-51, Nov. 2012.
Paper # ISEC2012-64 
Date of Issue 2012-11-14 (ISEC, LOIS) 
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)
Download PDF ISEC2012-64 LOIS2012-39

Conference Information
Committee ISEC LOIS  
Conference Date 2012-11-21 - 2012-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka City Industry-University Exchange Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ISEC 
Conference Code 2012-11-ISEC-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A classification method of application traffic in encrypted tunnel using SVM 
Sub Title (in English)  
Keyword(1) SVM  
Keyword(2) Network traffic  
Keyword(3) Classification  
Keyword(4) Application  
Keyword(5) Encryption  
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Keyword(7)  
Keyword(8)  
1st Author's Name Nguyen Thanh Tuan  
1st Author's Affiliation National Defense Academy (NDA)
2nd Author's Name Yasuhiro Nakamura  
2nd Author's Affiliation National Defense Academy (NDA)
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Speaker Author-1 
Date Time 2012-11-22 11:10:00 
Presentation Time 25 minutes 
Registration for ISEC 
Paper # ISEC2012-64, LOIS2012-39 
Volume (vol) vol.112 
Number (no) no.305(ISEC), no.306(LOIS) 
Page pp.47-51 
#Pages 5 
Date of Issue 2012-11-14 (ISEC, LOIS) 

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