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Paper Abstract and Keywords
Presentation 2013-10-22 15:30
A Study of Behavioral Anomaly Detection System on Network Application Traffic from Many Sensors
Akira Nagata, Kohei Kotera, Katsuichi Nakamura (NAL), Yoshiaki Hori (Saga Univ.) IA2013-50
Abstract (in Japanese) (See Japanese page) 
(in English) For a computer network in Bigdata era, we discuss an behavioral anomaly detection system which makes it possible to analyze and immediately detect anomaly traffic bevior.
Many sensor devices connect to the network and tend to generate their application traffic at quite a low communication rate.
In order to observe necessary traffic information for traffic analysis in a short time,
the monitoring system integrates traffic statistics of flows sent from devices which are considered to generate the same application. It detects anomaly traffic behavior on the basis of application analysis using NMF(Non-Negative Matrix Factorization).
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic Analsysis / Anomaly Detection / Sensor devices / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 256, IA2013-50, pp. 41-44, Oct. 2013.
Paper # IA2013-50 
Date of Issue 2013-10-15 (IA) 
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)
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Conference Information
Committee IA  
Conference Date 2013-10-22 - 2013-10-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Takeda Hall, Takeda Bldg. 5F, Hongo Campus, Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network R&D Testbed Operation and Utilization, etc. (cosponsored by ADVNET) 
Paper Information
Registration To IA 
Conference Code 2013-10-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Behavioral Anomaly Detection System on Network Application Traffic from Many Sensors 
Sub Title (in English)  
Keyword(1) Traffic Analsysis  
Keyword(2) Anomaly Detection  
Keyword(3) Sensor devices  
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1st Author's Name Akira Nagata  
1st Author's Affiliation Network Application Engineering Laboratories Ltd. (NAL)
2nd Author's Name Kohei Kotera  
2nd Author's Affiliation Network Application Engineering Laboratories Ltd. (NAL)
3rd Author's Name Katsuichi Nakamura  
3rd Author's Affiliation Network Application Engineering Laboratories Ltd. (NAL)
4th Author's Name Yoshiaki Hori  
4th Author's Affiliation Saga University (Saga Univ.)
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Speaker Author-1 
Date Time 2013-10-22 15:30:00 
Presentation Time 20 minutes 
Registration for IA 
Paper # IA2013-50 
Volume (vol) vol.113 
Number (no) no.256 
Page pp.41-44 
#Pages
Date of Issue 2013-10-15 (IA) 


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