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Paper Abstract and Keywords
Presentation 2014-02-28 14:35
An evaluation of cyber attack detection system using machine learning -- A performance evaluation of anomaly detection system on Jubatus --
Mirai Sokei, Tadashi Ogino (ONCT) SWIM2013-19
Abstract (in Japanese) (See Japanese page) 
(in English) The network intrusion is becoming a big thread for a lot of companies, organization and so on. Many of today’s intrusion detection system are based on signature-based and are not capable of unknown attacks. Accordingly anomaly detection system is getting focus recently. In this paper, we studies the effectiveness and the performance experiments of one of the major anomaly detect scale, LOF, on distributed online machine learning framework, Jubatus.
Keyword (in Japanese) (See Japanese page) 
(in English) Computer Security / Big Data / Machine Learning / LOF / Jubatus / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 453, SWIM2013-19, pp. 13-18, Feb. 2014.
Paper # SWIM2013-19 
Date of Issue 2014-02-21 (SWIM) 
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 SWIM2013-19

Conference Information
Committee SWIM  
Conference Date 2014-02-28 - 2014-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SWIM 
Conference Code 2014-02-SWIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An evaluation of cyber attack detection system using machine learning 
Sub Title (in English) A performance evaluation of anomaly detection system on Jubatus 
Keyword(1) Computer Security  
Keyword(2) Big Data  
Keyword(3) Machine Learning  
Keyword(4) LOF  
Keyword(5) Jubatus  
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1st Author's Name Mirai Sokei  
1st Author's Affiliation Okinawa National College of Technology (ONCT)
2nd Author's Name Tadashi Ogino  
2nd Author's Affiliation Okinawa National College of Technology (ONCT)
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Speaker Author-1 
Date Time 2014-02-28 14:35:00 
Presentation Time 25 minutes 
Registration for SWIM 
Paper # SWIM2013-19 
Volume (vol) vol.113 
Number (no) no.453 
Page pp.13-18 
#Pages 6 
Date of Issue 2014-02-21 (SWIM) 

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