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| Presentation | 2022-03-07 13:10 A Method for Identifying IoT Devices Using Features from WebUI Contents and Images Kosuke Murakami (NICT/KDDI), Takahiro Kasama, Akira Fujita (NICT), Jumpei Urakawa (KDS), Daisuke Inoue (NICT)  ICSS2021-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Cyber attacks on IoT devices have caused damage such as information theft and malware infection. In order to identify IoT devices, it is necessary to identify the characteristics of the banner information returned by the devices. In particular, some IoT devices are equipped with WebUI for management, and since WebUI (HTTP) banner information contains more information than banner information of other protocols, it is likely to contain features that are effective in identifying the category, vendor, model number, etc. of IoT devices. In addition, devices with similar WebUIs are likely to be devices of the same vendor or original products and OEM products, and the similarity of WebUIs as images is also an important indicator. Therefore, in this study, we propose a method for identifying IoT device models by combining content information of WebUIs for IoT device management and image features, and report the results of evaluation using banner data actually collected from IoT devices on the Internet. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IoT Device / WebUI / Device Identification / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 410, ICSS2021-59, pp. 7-12, March 2022. | |
| Paper # | ICSS2021-59 | |
| Date of Issue | 2022-02-28 (ICSS) | |
| 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 | ICSS2021-59 |
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| Conference Information | |
| Committee | ICSS IPSJ-SPT |
| Conference Date | 2022-03-07 - 2022-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Security, Trust, etc. |
| Paper Information | |
| Registration To | ICSS |
| Conference Code | 2022-03-ICSS-SPT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method for Identifying IoT Devices Using Features from WebUI Contents and Images |
| Sub Title (in English) | |
| Keyword(1) | IoT Device |
| Keyword(2) | WebUI |
| Keyword(3) | Device Identification |
| Keyword(4) | |
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| 1st Author's Name | Kosuke Murakami |
| 1st Author's Affiliation | National Institute of Information and Communications Technology/KDDI Research, Inc. (NICT/KDDI) |
| 2nd Author's Name | Takahiro Kasama |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 3rd Author's Name | Akira Fujita |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 4th Author's Name | Jumpei Urakawa |
| 4th Author's Affiliation | KDDI Digital Security Inc. (KDS) |
| 5th Author's Name | Daisuke Inoue |
| 5th Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-07 13:10:00 |
| Presentation Time | 20 minutes |
| Registration for | ICSS |
| Paper # | ICSS2021-59 |
| Volume (vol) | vol.121 |
| Number (no) | no.410 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (ICSS) |
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