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Paper Abstract and Keywords
Presentation 2019-03-08 14:25
Traffic analysis to detect abnormal smartphone application behavior
Iifan Tyou, Takahiro Nukushina, Yukio Nagafuchi, Masaki Tanikawa (NTT) ICSS2018-87
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of smartphones, its security management has become important. For smartphones, it is also necessary to consider the protection of apps that control electronic payment and IoT devices which will cause direct monetary loss and physical damage, as well as data protection. Existing technology such as tamper detection, etc., is not enough user understandable and secure to deal with an application with backdoors. In order to reduce the risk of using smartphones, we propose a system that ensures apps is secure by analyzing traffic data for each smartphone app, generating normal traffic pattern and range of each app, visualizing the range and detecting the anomaly traffic. Over-detection is a problem to this type of anomaly detection systems, it occurs with the shortage of learning periods and lack age of operations between the learning periods. In the proposed system we solve this problem by share the automatically generates a normal traffic pattern and range among smartphones for each app. We evaluated the system configuration method and its effectiveness.
Keyword (in Japanese) (See Japanese page) 
(in English) Smartphone Security / App Traffic Analyzing / Traffic Control / Autonomous Decentralized Control / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 486, ICSS2018-87, pp. 167-172, March 2019.
Paper # ICSS2018-87 
Date of Issue 2019-02-28 (ICSS) 
ISSN Print edition: ISSN 0913-5685  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)
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Conference Information
Committee ICSS IPSJ-SPT  
Conference Date 2019-03-07 - 2019-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) NICT Okinawa Electromagnetic Technology Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2019-03-ICSS-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Traffic analysis to detect abnormal smartphone application behavior 
Sub Title (in English)  
Keyword(1) Smartphone Security  
Keyword(2) App Traffic Analyzing  
Keyword(3) Traffic Control  
Keyword(4) Autonomous Decentralized Control  
1st Author's Name Iifan Tyou  
1st Author's Affiliation nippon Telegraph and telephone (NTT)
2nd Author's Name Takahiro Nukushina  
2nd Author's Affiliation nippon Telegraph and telephone (NTT)
3rd Author's Name Yukio Nagafuchi  
3rd Author's Affiliation nippon Telegraph and telephone (NTT)
4th Author's Name Masaki Tanikawa  
4th Author's Affiliation nippon Telegraph and telephone (NTT)
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Speaker Author-1 
Date Time 2019-03-08 14:25:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2018-87 
Volume (vol) vol.118 
Number (no) no.486 
Page pp.167-172 
Date of Issue 2019-02-28 (ICSS) 

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