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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 |
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| 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 |
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| 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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