Paper Abstract and Keywords |
Presentation |
2020-11-06 14:40
Considering the variation of the noise-addition amount in local differential privacy with user trajectory adjacency Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi, Doudou Fall (NAIST) ISEC2020-39 SITE2020-36 LOIS2020-19 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The detection of clusters in densely populated areas by contact tracing is urgent, because these locations are trajectories represented by a series of latitude and longitude data, and sensitive information can be inferred, which carries a privacy risk, although it is possible to detect clusters with higher accuracy using GPS.
In order to guarantee privacy, there is a local differential privacy policy that adds noise at the data collection stage, but the user cannot control the amount of noise added. The risk tolerance is different for each individual, and the amount of noise addition must be dynamically changed according to the user's trajectory. Therefore, in this study, we vary the amount of noise addition according to the risk of privacy leakage considering the trajectory adjacency of the user. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Local Differential Privacy / Trajectory Adjacency / Cluster Detection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 224, ISEC2020-39, pp. 45-50, Nov. 2020. |
Paper # |
ISEC2020-39 |
Date of Issue |
2020-10-30 (ISEC, SITE, LOIS) |
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) |
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ISEC2020-39 SITE2020-36 LOIS2020-19 |
Conference Information |
Committee |
LOIS ISEC SITE |
Conference Date |
2020-11-06 - 2020-11-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
ISEC |
Conference Code |
2020-11-LOIS-ISEC-SITE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Considering the variation of the noise-addition amount in local differential privacy with user trajectory adjacency |
Sub Title (in English) |
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Keyword(1) |
Local Differential Privacy |
Keyword(2) |
Trajectory Adjacency |
Keyword(3) |
Cluster Detection |
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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) |
4th Author's Name |
Doudou Fall |
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Nara Institute of Science and Technology (NAIST) |
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Speaker |
Author-1 |
Date Time |
2020-11-06 14:40:00 |
Presentation Time |
25 minutes |
Registration for |
ISEC |
Paper # |
ISEC2020-39, SITE2020-36, LOIS2020-19 |
Volume (vol) |
vol.120 |
Number (no) |
no.224(ISEC), no.225(SITE), no.226(LOIS) |
Page |
pp.45-50 |
#Pages |
6 |
Date of Issue |
2020-10-30 (ISEC, SITE, LOIS) |
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