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Paper Abstract and Keywords
Presentation 2009-07-17 15:00
[Special Talk] Visualizing and Classifying Internet Traffic based on Connection Patterns
Yosuke Himura (The Univ. of Tokyo), Kensuke Fukuda (NII /JST), Kenjiro Cho (IIJ), Hiroshi Esaki (The Univ. of Tokyo) IA2009-27
Abstract (in Japanese) (See Japanese page) 
(in English) In this technical report, we develop a visualization tool of Internet traffic based on connection patterns for additional information of anomaly detection reports. The connection pattern is defined as information aggregated from flows generated by a certain host; it represents how the 5-tuples are correlated each other. We evaluate our tool by using anomaly detection algorithm based on Sketch and the multi-scale gamma model with MAWI real-traffic traces. The main result of the visualization and investigation of anomaly traffic is as follows: (a) efficient profiling of anomaly traffic, (b) identification of anomaly traffic by using visualized connection patterns, (c) support for identifing unknown traffic and finding misclassified traffic. We aim to construct a database of anomaly traffic, and to automatically tune parameters of network anomaly detection and classification methods.
Keyword (in Japanese) (See Japanese page) 
(in English) traffic analysis / network anomaly detection / traffic classification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 137, IA2009-27, pp. 33-38, July 2009.
Paper # IA2009-27 
Date of Issue 2009-07-10 (IA) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 IA  
Conference Date 2009-07-17 - 2009-07-17 
Place (in Japanese) (See Japanese page) 
Place (in English) IIJ Kanda Jinbocho Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, etc. 
Paper Information
Registration To IA 
Conference Code 2009-07-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualizing and Classifying Internet Traffic based on Connection Patterns 
Sub Title (in English)  
Keyword(1) traffic analysis  
Keyword(2) network anomaly detection  
Keyword(3) traffic classification  
1st Author's Name Yosuke Himura  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Kensuke Fukuda  
2nd Author's Affiliation National Institute of Informatics/PRESTO, JST (NII /JST)
3rd Author's Name Kenjiro Cho  
3rd Author's Affiliation Internet Initiative Japan (IIJ)
4th Author's Name Hiroshi Esaki  
4th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2009-07-17 15:00:00 
Presentation Time 30 minutes 
Registration for IA 
Paper # IA2009-27 
Volume (vol) vol.109 
Number (no) no.137 
Page pp.33-38 
Date of Issue 2009-07-10 (IA) 

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