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Paper Abstract and Keywords
Presentation 2017-12-14 16:45
Anomaly Detection for Smart Home IoT based on Users' Behavior
Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Kensuke Ueda, Yoshiaki Kato (Mitsubishi Electric) IN2017-58
Abstract (in Japanese) (See Japanese page) 
(in English) Many devices such as air conditioners and refrigerator have become connected to the Internet, and become a target of the cyber-attacks. Especially, the operations by the attackers are serious problems, which may kill the users.
However, such attacks are difficult to detect, because the operations by the attackers uses the same protocol as the operations by the users.
In this paper, we propose a method to detect such attacks. Our method learns the behavior of the users at each condition defined by the time-of-day and information monitored by sensors such as temperature. Then, our method detects attacks by comparing the current behavior with the learned behavior for the condition corresponding to the current condition.
We evaluate our method by using the data including the behavior of 4 users of the IoT devices. The results demonstrate 99.6% of attacks can be detected with 6.25% of false detections.
Keyword (in Japanese) (See Japanese page) 
(in English) Smart Home / IoT / Security / Anomaly Detection / Spoofing Operation Detection / Behavior Pattern / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 353, IN2017-58, pp. 73-78, Dec. 2017.
Paper # IN2017-58 
Date of Issue 2017-12-07 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2017-58

Conference Information
Committee IA IN  
Conference Date 2017-12-14 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City Univ. 
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 2017-12-IA-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly Detection for Smart Home IoT based on Users' Behavior 
Sub Title (in English)  
Keyword(1) Smart Home  
Keyword(2) IoT  
Keyword(3) Security  
Keyword(4) Anomaly Detection  
Keyword(5) Spoofing Operation Detection  
Keyword(6) Behavior Pattern  
Keyword(7)  
Keyword(8)  
1st Author's Name Masaaki Yamauchi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuichi Ohsita  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Kensuke Ueda  
4th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
5th Author's Name Yoshiaki Kato  
5th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
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Speaker Author-1 
Date Time 2017-12-14 16:45:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2017-58 
Volume (vol) vol.117 
Number (no) no.353 
Page pp.73-78 
#Pages 6 
Date of Issue 2017-12-07 (IN) 

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