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Paper Abstract and Keywords
Presentation 2022-03-09 09:55
Active intrusion detection method for IoT devices
Takahiro Ohtani, Ryo Yamamoto, Satoshi Ohzahata (UEC) CQ2021-101
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the threat of attacks against IoT (Internet of Things) devices has become apparent with the rapid spread of IoT technologies. Although installing an intrusion detection system (IDS) on IoT networks mitigates the risk of such attacks, the installation requires software rewriting or hardware replacement of existing IoT devices or IoT gateways in some cases. In this paper, we propose an intrusion detection method that actively obtains feature values from IoT devices focusing on detecting an indication of intrusions with minimal cost. For the proposed method, we focus on the fact that the number of packets transmitted per unit time can be obtained from the IPID value of IPv4 header in many IoT devices and detect an indication of intrusion based on the number obtained from the IPID value. We have also evaluated the detection and processing performance of the proposed method and confirmed that the proposed method can be used for intrusion detection and processing on low-power devices.
Keyword (in Japanese) (See Japanese page) 
(in English) intrusion detection system / Internet of Things / active intrusion detection / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 421, CQ2021-101, pp. 5-10, March 2022.
Paper # CQ2021-101 
Date of Issue 2022-03-02 (CQ) 
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 CQ2021-101

Conference Information
Committee CQ IMQ MVE IE  
Conference Date 2022-03-09 - 2022-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc 
Paper Information
Registration To CQ 
Conference Code 2022-03-CQ-IMQ-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Active intrusion detection method for IoT devices 
Sub Title (in English)  
Keyword(1) intrusion detection system  
Keyword(2) Internet of Things  
Keyword(3) active intrusion detection  
Keyword(4) machine learning  
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1st Author's Name Takahiro Ohtani  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Ryo Yamamoto  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Satoshi Ohzahata  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-03-09 09:55:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2021-101 
Volume (vol) vol.121 
Number (no) no.421 
Page pp.5-10 
#Pages 6 
Date of Issue 2022-03-02 (CQ) 

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