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| Presentation | 2019-07-04 09:00 Analyzing MAC address randomization for Wi-Fi signal based mobile device tracking Yuki Furuya, Hiromu Asahina, Kentaroh Toyoda, Iwao Sasase (Keio Univ.)  CS2019-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Analyzing facility usage through Wi-Fi signals of users’ mobile devices has become controversial but common. Although Wi-Fi signals are helpful to continuously record the facility usage, there is concern over the leakage of private information. Therefore, most of the latest smartphone OS implement the MAC address randomization. Motivated by the above, In this paper, we propose RSSI (Received Signal Strength Indicator)-based data labeling for Wi-Fi signals with randomized MAC addresses and machine learning-based feature analysis. We show the results of the feature analysis of collected dataset which contains 677 labeled Wi-Fi signals with randomized MAC addresses transmitted from 21 smartphones. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wi-Fi / MAC address randomization / machine learning / dataset / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 101, CS2019-17, pp. 25-29, July 2019. | |
| Paper # | CS2019-17 | |
| Date of Issue | 2019-06-27 (CS) | |
| 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 | CS2019-17 |
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| Conference Information | |
| Committee | CS |
| Conference Date | 2019-07-04 - 2019-07-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Amami City Social Welfare Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2019-07-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analyzing MAC address randomization for Wi-Fi signal based mobile device tracking |
| Sub Title (in English) | |
| Keyword(1) | Wi-Fi |
| Keyword(2) | MAC address randomization |
| Keyword(3) | machine learning |
| Keyword(4) | dataset |
| Keyword(5) | |
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| 1st Author's Name | Yuki Furuya |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Hiromu Asahina |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Kentaroh Toyoda |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Iwao Sasase |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-07-04 09:00:00 |
| Presentation Time | 15 minutes |
| Registration for | CS |
| Paper # | CS2019-17 |
| Volume (vol) | vol.119 |
| Number (no) | no.101 |
| Page | pp.25-29 |
| #Pages | 5 |
| Date of Issue | 2019-06-27 (CS) |
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