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Paper Abstract and Keywords
Presentation 2016-03-03 15:30
Detection of Vulnerability Scanning Using Features of Collective Accesses Collected from Several Honeypots
Naomi Kuze, Shu Ishikura (Osaka Univ.), Takeshi Yagi, Daiki Chiba (NTT), Masayuki Murata (Osaka Univ.) ICSS2015-55
Abstract (in Japanese) (See Japanese page) 
(in English) Attacks against websites are increasing rapidly with the expansion of web services. Diversifying web services make it difficult to prevent such attacks due to many unknown vulnerabilities in websites. To overcome this problem, we need to collect the most recent attacks using decoy web honeypots and to implement countermeasures against malicious threats. Web honeypots collect not only malicious accesses but also benign accesses such as those by web crawlers. Therefore, it is essential to identify automatically malicious accesses from mixed collected data. Specifically, detecting vulnerability scanning, which is a preliminary process of web attacks, is important for preventing attacks. In this study, we focused on classification of web crawler and vulnerability scanning since these are too similar to be identified. We propose feature vectors including features of collective accesses obtained with multiple honeypots deployed in different networks. Through our evaluation, we show that features of collective accesses are advantageous for web crawler and vulnerability scanning classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Intrusion detection / Web attacks / Classification / Features of collective accesses / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 488, ICSS2015-55, pp. 47-52, March 2016.
Paper # ICSS2015-55 
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. (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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Vulnerability Scanning Using Features of Collective Accesses Collected from Several Honeypots 
Sub Title (in English)  
Keyword(1) Intrusion detection  
Keyword(2) Web attacks  
Keyword(3) Classification  
Keyword(4) Features of collective accesses  
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1st Author's Name Naomi Kuze  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shu Ishikura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Takeshi Yagi  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Daiki Chiba  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Masayuki Murata  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2016-03-03 15:30:00 
Presentation Time 30 
Registration for ICSS 
Paper # IEICE-ICSS2015-55 
Volume (vol) IEICE-115 
Number (no) no.488 
Page pp.47-52 
#Pages IEICE-6 
Date of Issue IEICE-ICSS-2016-02-25 


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