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Paper Abstract and Keywords
Presentation 2017-06-16 10:40
Identification of Communication Devices from Analysis of Traffic Patterns
Hiroki Kawai, Shingo Ata (Osaka City Univ.), Nobuyuki Nakamura (OKI), Oka Ikuo (Osaka City Univ.) IN2017-16
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, variety of communication devices such as printers, IP telephones, network cameras are used
widely, with the support of networking in consumer electronics. As a spread of IoT (Internet of Things), the number
of embed devices are significantly increasing, however, such devices have lack of capability on security. It is there-
fore desirable that a network identifies these devices to take appropriate operations. In this paper, we propose an
identification method of communication devices from monitoring patterns of traffic, here we use statistical metrics
such as packet inter-arrival time or packet size, and we apply a machine learning for the identification. Through
evaluations using real traffic, we show that our method can achieve over 90% of identification to 9 commiunication
devices.
Keyword (in Japanese) (See Japanese page) 
(in English) communication device identification / traffic measurement / machine learning / IoT / M2M / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 89, IN2017-16, pp. 49-54, June 2017.
Paper # IN2017-16 
Date of Issue 2017-06-08 (IN) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2017-16

Conference Information
Committee IN  
Conference Date 2017-06-15 - 2017-06-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Roudou-Fukushi-Kaikan (Koriyama) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IN 
Conference Code 2017-06-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identification of Communication Devices from Analysis of Traffic Patterns 
Sub Title (in English)  
Keyword(1) communication device identification  
Keyword(2) traffic measurement  
Keyword(3) machine learning  
Keyword(4) IoT  
Keyword(5) M2M  
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1st Author's Name Hiroki Kawai  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Shingo Ata  
2nd Author's Affiliation Osaka City University (Osaka City Univ.)
3rd Author's Name Nobuyuki Nakamura  
3rd Author's Affiliation Oki Electric Industory Co.,Ltd. (OKI)
4th Author's Name Oka Ikuo  
4th Author's Affiliation Osaka City University (Osaka City Univ.)
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Speaker
Date Time 2017-06-16 10:40:00 
Presentation Time 25 
Registration for IN 
Paper # IEICE-IN2017-16 
Volume (vol) IEICE-117 
Number (no) no.89 
Page pp.49-54 
#Pages IEICE-6 
Date of Issue IEICE-IN-2017-06-08 


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