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Paper Abstract and Keywords
Presentation 2020-12-15 11:40
Application Identification Method with Meta-Learning
Shun Tobiyama, Bo Hu, Kazunori Kamiya (NTT), Kenji Takahashi (NTT Ltd.) IN2020-40
Abstract (in Japanese) (See Japanese page) 
(in English) With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network services, and web meeting services, are widely used, significantly increasing the amount of traffic. Classifying what types of network traffic in detail uses networks is important from the perspectives of resource management and threat analysis. Researchers has proposed methods for identifying applications from flow data using machine learning techniques. However, it is difficult to create a large amount of training data because a flow data does not contain information of application layer while existing machine learning techniques needs a large amount of training data. Thus, in this paper, we use a method called "Meta-Learning" which enables us to construct models with a small amount of data to solve this problem.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic Identification / Network Flow / Meta-Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 293, IN2020-40, pp. 43-48, Dec. 2020.
Paper # IN2020-40 
Date of Issue 2020-12-07 (IN) 
ISSN 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 IN2020-40

Conference Information
Committee IA IN  
Conference Date 2020-12-14 - 2020-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IN 
Conference Code 2020-12-IA-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application Identification Method with Meta-Learning 
Sub Title (in English)  
Keyword(1) Traffic Identification  
Keyword(2) Network Flow  
Keyword(3) Meta-Learning  
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1st Author's Name Shun Tobiyama  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Bo Hu  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Kazunori Kamiya  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Kenji Takahashi  
4th Author's Affiliation NTT Limited (NTT Ltd.)
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Speaker Author-1 
Date Time 2020-12-15 11:40:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2020-40 
Volume (vol) vol.120 
Number (no) no.293 
Page pp.43-48 
#Pages 6 
Date of Issue 2020-12-07 (IN) 

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