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Paper Abstract and Keywords
Presentation 2020-11-06 14:45
[Invited Lecture] A self-learning traffic analysis method for self-driving private mobile networks
Anan Sawabe (NEC/UTokyo), Takanori Iwai (NEC), Akihiro Nakao (UTokyo) CS2020-63
Abstract (in Japanese) (See Japanese page) 
(in English) Recent wide-spreading IoT use cases lead IoT vertical players without wireless network expertise to utilize high performance wireless networks by their own, which results in increasing their needs of local 5G operation without experts. Accordingly, we propose a context interpreting method with self-learning capability at a MEC server via traffic analysis empowered by network layer AI. In this presentation, we show results of context estimation in two major use cases such as smartphone apps and web camera states.
Keyword (in Japanese) (See Japanese page) 
(in English) Encrypted traffic / Traffic analysis / States transition model / Estimation of application / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 223, CS2020-63, pp. 81-82, Nov. 2020.
Paper # CS2020-63 
Date of Issue 2020-10-29 (CS) 
ISSN 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)
Download PDF CS2020-63

Conference Information
Committee CS  
Conference Date 2020-11-05 - 2020-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Online + Central Community Center, Nonoichi Community Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Broadband access, Home network, Network service, Communication applications, etc. 
Paper Information
Registration To CS 
Conference Code 2020-11-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A self-learning traffic analysis method for self-driving private mobile networks 
Sub Title (in English)  
Keyword(1) Encrypted traffic  
Keyword(2) Traffic analysis  
Keyword(3) States transition model  
Keyword(4) Estimation of application  
1st Author's Name Anan Sawabe  
1st Author's Affiliation NEC Corporation/The University of Tokyo (NEC/UTokyo)
2nd Author's Name Takanori Iwai  
2nd Author's Affiliation NEC Corporation (NEC)
3rd Author's Name Akihiro Nakao  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2020-11-06 14:45:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2020-63 
Volume (vol) vol.120 
Number (no) no.223 
Page pp.81-82 
Date of Issue 2020-10-29 (CS) 

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