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Paper Abstract and Keywords
Presentation 2011-03-11 17:30
Identifying the Anomalous Traffic Using unsupervised learning of Traffic Distribution
Hiroshi Yoshida, Haruo Oishi, Akiyuki Takeda, Hideaki Harada (NTT) ICM2010-75
Abstract (in Japanese) (See Japanese page) 
(in English) DDoS (Distributed Denial of Service) attacks cause serious damage for services. For a early recovery against attacks, quick detection of attacks is important. However, network providers are not allowed to investigate network traffics of their customers directly due to the privacy of communications so that analysis of protocol headers to find malicious packets is not applicable for detection. This paper presents an algorithm to judge normal and aberrant (under DDoS attacks) statuses of network from continuous traffic rate measurement. The algorism finds the threshold of normal and aberrant statuses repeatedly with the probabilistically highest accuracy utilizing the characteristic of the traffic rate distribution.
Keyword (in Japanese) (See Japanese page) 
(in English) DDoS attacks, / traffic monitoring, / normal distribution / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 466, ICM2010-75, pp. 121-126, March 2011.
Paper # ICM2010-75 
Date of Issue 2011-03-03 (ICM) 
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 ICM2010-75

Conference Information
Committee ICM  
Conference Date 2011-03-10 - 2011-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima Marine Terminal 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Element Management, Management Functionalities, Operations and Management Technologies 
Paper Information
Registration To ICM 
Conference Code 2011-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identifying the Anomalous Traffic Using unsupervised learning of Traffic Distribution 
Sub Title (in English)  
Keyword(1) DDoS attacks,  
Keyword(2) traffic monitoring,  
Keyword(3) normal distribution  
Keyword(4) machine learning  
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1st Author's Name Hiroshi Yoshida  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Haruo Oishi  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Akiyuki Takeda  
3rd Author's Affiliation NTT (NTT)
4th Author's Name Hideaki Harada  
4th Author's Affiliation NTT (NTT)
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Speaker Author-1 
Date Time 2011-03-11 17:30:00 
Presentation Time 20 minutes 
Registration for ICM 
Paper # ICM2010-75 
Volume (vol) vol.110 
Number (no) no.466 
Page pp.121-126 
#Pages
Date of Issue 2011-03-03 (ICM) 


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