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Paper Abstract and Keywords
Presentation 2019-03-05 13:30
Analytics for LAN Traffic Data using Deep Learning
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki (UTokyo) NS2018-269
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, because Deep Learning algorithm can automatically learn the features from the training set, it has received extensive attention in many fields. Compared to the machine learning algorithms so far, it has greatly improved the expressiveness in these fields. On the other hand, in this era of Information communication, the task of security in the network has become more and more difficult to deal with. However, events occurring in the network are still not transparent enough to know the high-level information hidden in the big data of network transportation, which actually contains a great deal of risk. In this research, we propose a method to classify events using deep learning, CNN (Convocational Neural Network) based on feature maps created from traffic data in the network. In this paper, we focus on the feature expression of the traffic data in LAN and the applicability of deep learning to network security task. In this research, we propose a method, constantly monitoring activities in the LAN, and detecting malware intrusions, malicious intrusions that target devices in the LAN, using an approach of deep learning.
Keyword (in Japanese) (See Japanese page) 
(in English) deep learning / security / LAN / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 465, NS2018-269, pp. 443-448, March 2019.
Paper # NS2018-269 
Date of Issue 2019-02-25 (NS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IN NS  
Conference Date 2019-03-04 - 2019-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2019-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analytics for LAN Traffic Data using Deep Learning 
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Keyword(1) deep learning  
Keyword(2) security  
Keyword(3) LAN  
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1st Author's Name Yuwei Sun  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Hideya Ochiai  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Hiroshi Esaki  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2019-03-05 13:30:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2018-269 
Volume (vol) vol.118 
Number (no) no.465 
Page pp.443-448 
#Pages
Date of Issue 2019-02-25 (NS) 


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