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Paper Abstract and Keywords
Presentation 2018-03-08 11:10
Classification for Important Decoy Documents Based on Supervised Learning
Yao Xiao, Shuta Morishima (Yokohama National Univ.), Tsuyufumi Watanabe (Yokohama National Univ./Fujisoft), Katsunari Yoshioka, Tsutomu Matsumoto (Yokohama National Univ.) ICSS2017-72
Abstract (in Japanese) (See Japanese page) 
(in English) In recent targeted e-mail attacks, attackers often send their target organization an email with a malware disguised as a document file or a document file that exploits software vulnerabilities as an attached file. When the attached file is opened, it shows a document that is relevant to the target organization in order to conceal the infection. Security researchers collect decoy documents to infer the targeted individuals or organizations. In this study, we propose a method to automatically judge if a decoy document indicates an attack targeting a specific individual or an organization by using supervised machine learning. Also, we show we can successfully classify important decoy documents in our dataset with high accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Targeted attacks / Supervised machine learning / Decoy documents / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 481, ICSS2017-72, pp. 127-132, March 2018.
Paper # ICSS2017-72 
Date of Issue 2018-02-28 (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 IPSJ-SPT  
Conference Date 2018-03-07 - 2018-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Security, Trust, etc. 
Paper Information
Registration To ICSS 
Conference Code 2018-03-ICSS-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification for Important Decoy Documents Based on Supervised Learning 
Sub Title (in English)  
Keyword(1) Targeted attacks  
Keyword(2) Supervised machine learning  
Keyword(3) Decoy documents  
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1st Author's Name Yao Xiao  
1st Author's Affiliation Yokohama National University (Yokohama National Univ.)
2nd Author's Name Shuta Morishima  
2nd Author's Affiliation Yokohama National University (Yokohama National Univ.)
3rd Author's Name Tsuyufumi Watanabe  
3rd Author's Affiliation Yokohama National University/Fujisoft Incorporated (Yokohama National Univ./Fujisoft)
4th Author's Name Katsunari Yoshioka  
4th Author's Affiliation Graduate School of Environment and Information Sciences/Institute of Advanced Sciences, Yokohama National University (Yokohama National Univ.)
5th Author's Name Tsutomu Matsumoto  
5th Author's Affiliation Graduate School of Environment and Information Sciences/Institute of Advanced Sciences, Yokohama National University (Yokohama National Univ.)
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Speaker Author-1 
Date Time 2018-03-08 11:10:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2017-72 
Volume (vol) vol.117 
Number (no) no.481 
Page pp.127-132 
#Pages 6 
Date of Issue 2018-02-28 (ICSS) 

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