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Paper Abstract and Keywords
Presentation 2022-10-05 15:10
An Anomaly Detection System of IoT Traffic for Smart Home Environments
Naoto Watanabe, Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.), Ryo Yamamoto (UEC) NS2022-83
Abstract (in Japanese) (See Japanese page) 
(in English) With the proliferation of Internet of things (IoT) devices, cyberattacks targeting these devices have also been increasing. In 2016, a distributed denial of service (DDoS) attack was conducted by a botnet composed of IoT devices infected a malware called Mirai, and traffic caused by the attack was observed to be up to 1.5Tbps. In addition, new variants of malware are still being discovered, and therefore unknown cyberattacks are anticipated in the future. However, many IoT devices have not been updated sufficiently, consequently, it is difficult to immediately deal with new vulnerabilities. This paper proposes an anomaly detection system for smart home IoT traffic including unknown attacks by dynamically learning from real time captured traffic.
Keyword (in Japanese) (See Japanese page) 
(in English) Internet of things / Machine learning / Honeypot / Anomaly detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 198, NS2022-83, pp. 8-11, Oct. 2022.
Paper # NS2022-83 
Date of Issue 2022-09-28 (NS) 
ISSN 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 NS2022-83

Conference Information
Committee NS  
Conference Date 2022-10-05 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaidou University + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network architecture (5G, Local 5G, Beyond5G, Mobile networks, Ad-hoc and sensor networks, Overlay and P2P networks, Programmable networks, SDN/NFV, IoT, Network slicing), Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc. 
Paper Information
Registration To NS 
Conference Code 2022-10-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Anomaly Detection System of IoT Traffic for Smart Home Environments 
Sub Title (in English)  
Keyword(1) Internet of things  
Keyword(2) Machine learning  
Keyword(3) Honeypot  
Keyword(4) Anomaly detection  
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1st Author's Name Naoto Watanabe  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
2nd Author's Name Taku Yamazaki  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
3rd Author's Name Takumi Miyoshi  
3rd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
4th Author's Name Ryo Yamamoto  
4th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-10-05 15:10:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2022-83 
Volume (vol) vol.122 
Number (no) no.198 
Page pp.8-11 
#Pages 4 
Date of Issue 2022-09-28 (NS) 

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