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Paper Abstract and Keywords
Presentation 2016-03-03 12:40
Malicious-Spam-Mail Detection System with Autonomous Learning Ability
Shogo Osaka, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-50
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, damages caused by spam mails that guide receivers to malicious
web pages become more and more serious. In this study, we propose an
autonomous learning system to detect such malicious spam mails. In the
proposed system, the main body of a mail is transformed into a feature
vector based on the tf-idf weight, and the feature vector is classified
by machine learning classifiers. In addition, to keep up with the trend
of mail-body contents, we adopt one-class SVM to detect outliers, and
continuously update the classifiers. In the experiments, we use
double-bounce mails collected by NICT for 120 days. We demonstrate that
the proposed system can detect malicious spam mails with a high
F-measure of $97.25%$ on average.
Keyword (in Japanese) (See Japanese page) 
(in English) machine learning / support vector machine / spam mail / autonomous learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 488, ICSS2015-50, pp. 19-24, March 2016.
Paper # ICSS2015-50 
Date of Issue 2016-02-25 (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)
Download PDF ICSS2015-50

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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Malicious-Spam-Mail Detection System with Autonomous Learning Ability 
Sub Title (in English)  
Keyword(1) machine learning  
Keyword(2) support vector machine  
Keyword(3) spam mail  
Keyword(4) autonomous learning  
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1st Author's Name Shogo Osaka  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Jun Kitazono  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Seiichi Ozawa  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name Tao Ban  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Junji Nakazato  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Jumpei Shimamura  
6th Author's Affiliation clwit Inc. (clwit)
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Speaker Author-1 
Date Time 2016-03-03 12:40:00 
Presentation Time 30 minutes 
Registration for ICSS 
Paper # ICSS2015-50 
Volume (vol) vol.115 
Number (no) no.488 
Page pp.19-24 
#Pages 6 
Date of Issue 2016-02-25 (ICSS) 

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