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| Presentation | 2022-07-14 14:00 A Study of Dynamic Privacy Control Method in LDP for Preserving Temporal/Spatial Intrinsic Information Value of Trajectory Data Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi (NAIST)  NS2022-47 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Spatiotemporal data, including people's movement trajectories and transit points, is highly valuable for various applications, such as analyzing people's behavior in physical space and urban design. In response to this problem, data collection using Local Differential Privacy (LDP), in which privacy-protected processing is applied to one's own trajectory data at each individual's terminal before sending it to a data store, has attracted attention. However, data collected using this method cannot retain the spatial and temporal characteristics of the data before privacy-protection processing. This is because the terminal applies noise to make the entire data indistinguishable based on the specified privacy protection strength (privacy budget), making the temporal and spatial characteristics difficult to distinguish at the same time. Therefore, we propose a method of privacy protection that preserves spatial and temporal characteristics after LDP is applied. Instead of a uniform privacy budget, the proposed method aligns the privacy budget for each terminal cluster that follows a similar trajectory. This makes the data within a cluster indistinguishable, while preserving the spatial and temporal information of the trajectory and path traversed by the cluster. Experimental results show that the proposed method maintains a certain level of data availability while preserving the privacy protection of the trajectory data providers. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Local Differential Privacy / Trajectory Data / Private Spatial Decomposition / Data Collection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 105, NS2022-47, pp. 106-111, July 2022. | |
| Paper # | NS2022-47 | |
| Date of Issue | 2022-07-06 (NS) | |
| 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 | NS2022-47 |
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| Conference Information | |
| Committee | NS SR RCS SeMI RCC |
| Conference Date | 2022-07-13 - 2022-07-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Kanazawa Theatre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2022-07-NS-SR-RCS-SeMI-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Dynamic Privacy Control Method in LDP for Preserving Temporal/Spatial Intrinsic Information Value of Trajectory Data |
| Sub Title (in English) | |
| Keyword(1) | Local Differential Privacy |
| Keyword(2) | Trajectory Data |
| Keyword(3) | Private Spatial Decomposition |
| Keyword(4) | Data Collection |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Taisho Sasada |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Yuzo Taenaka |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Youki Kadobayashi |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2022-07-14 14:00:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2022-47 |
| Volume (vol) | vol.122 |
| Number (no) | no.105 |
| Page | pp.106-111 |
| #Pages | 6 |
| Date of Issue | 2022-07-06 (NS) |
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