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Paper Abstract and Keywords
Presentation 2016-03-04 10:00
A fast detecting method for obfuscated malicious JavaScript based on text pattern analysis
Jiawei Su, Katsunari Yoshioka, Junji Shikata, Tsutomu Matsumoto (YNU) ICSS2015-58
Abstract (in Japanese) (See Japanese page) 
(in English) The malicious JavaScript is a common springboard for attackers to launch several types of network attacks, such as Drive-by-Download and malicious PDF delivery attacks. In order to elude detection of signature matching, malicious JavaScript is always packed (so-called “obfuscation”) with diversified algorithms therefore the occurrence of obfuscation is always a good pointer for potential maliciousness. In this investigation, we propose a light – weight approach for quickly filtering obfuscated JavaScript based on a novel approach of tokenizing JavaScript text at letter level and information-theoretic measure, based on the previous work in the domain of detecting obfuscated malicious code as well as the pattern analysis of natural languages. The new approach is obviously time efficient compared to existing systems since it processes much less objects while we also proved that the approach could also reach the acceptable detection accuracies.
Keyword (in Japanese) (See Japanese page) 
(in English) Text Classification / Obfuscated JavaScript / Information theoretic measures / feature selection / novelty detection / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 488, ICSS2015-58, pp. 65-70, March 2016.
Paper # ICSS2015-58 
Date of Issue 2016-02-25 (ICSS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IPSJ-SPT  
Conference Date 2016-03-03 - 2016-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Academic Center for Computing and Media Studies, Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information and Communication System Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2016-03-ICSS-SPT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A fast detecting method for obfuscated malicious JavaScript based on text pattern analysis 
Sub Title (in English)  
Keyword(1) Text Classification  
Keyword(2) Obfuscated JavaScript  
Keyword(3) Information theoretic measures  
Keyword(4) feature selection  
Keyword(5) novelty detection  
1st Author's Name Jiawei Su  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Katsunari Yoshioka  
2nd Author's Affiliation Yokohama National University (YNU)
3rd Author's Name Junji Shikata  
3rd Author's Affiliation Yokohama National University (YNU)
4th Author's Name Tsutomu Matsumoto  
4th Author's Affiliation Yokohama National University (YNU)
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Date Time 2016-03-04 10:00:00 
Presentation Time 30 
Registration for ICSS 
Paper # IEICE-ICSS2015-58 
Volume (vol) IEICE-115 
Number (no) no.488 
Page pp.65-70 
#Pages IEICE-6 
Date of Issue IEICE-ICSS-2016-02-25 

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