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| Presentation | 2018-03-01 09:00 Classifying OSes on User Devices Using the Similarity of DNS Query Sets Yuka Komai, Masahiro Kobayashi, Shigeaki Harada, Keisuke Ishibashi, Ryoichi Kawahara (NTT), Tatsuya Mori, Shigeki Goto (Waseda Univ.)  IN2017-89 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Due to the emergence of various user devices, it becomes important to manage traffic based on OSes (Operating Systems) on user devices, because huge traffic occurs when software updates for an OS are available. Therefore, we have proposed the method for classifying OSes on user devices using the similarity of DNS (Domain Name System) query sets by the factor analysis. In our previous work, FQDNs (Fully Qualified Domain Names) which are accessed from many devices are analyzed, which decreases the accuracy of classifying OSes. In this paper, we extend the method by analyzing accessed FQDNs which are highly related to a specific OS. In the extended method, these FQDNs are selected based on the frequency of users’ accesses to each FQDN. An experimental result shows that our extended method achieves higher accuracy of OS classification compared with the previous method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Traffic / OS / Classification / DNS Query / FQDN / Factor Analysis / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 460, IN2017-89, pp. 1-4, March 2018. | |
| Paper # | IN2017-89 | |
| Date of Issue | 2018-02-22 (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 | IN2017-89 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2018-03-01 - 2018-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2018-03-NS-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classifying OSes on User Devices Using the Similarity of DNS Query Sets |
| Sub Title (in English) | |
| Keyword(1) | Traffic |
| Keyword(2) | OS |
| Keyword(3) | Classification |
| Keyword(4) | DNS Query |
| Keyword(5) | FQDN |
| Keyword(6) | Factor Analysis |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuka Komai |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Masahiro Kobayashi |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Shigeaki Harada |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Keisuke Ishibashi |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 5th Author's Name | Ryoichi Kawahara |
| 5th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 6th Author's Name | Tatsuya Mori |
| 6th Author's Affiliation | Waseda University (Waseda Univ.) |
| 7th Author's Name | Shigeki Goto |
| 7th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-01 09:00:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2017-89 |
| Volume (vol) | vol.117 |
| Number (no) | no.460 |
| Page | pp.1-4 |
| #Pages | 4 |
| Date of Issue | 2018-02-22 (IN) |
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