Paper Abstract and Keywords |
Presentation |
2023-07-25 15:10
Extended $k^m$-anonymity for randomization Masaya Kobayashi, Atsushi Fujioka (Kanagawa Univ.), Koji Chida (Gunma Univ.) ISEC2023-53 SITE2023-47 BioX2023-56 HWS2023-53 ICSS2023-50 EMM2023-53 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Various models have been proposed to evaluate anonymity. Among them, $k$-anonymity is widely known as a representative anonymity. However, it has been found that it is difficult to create highly useful anonymized data satisfying $k$-anonymity for high-dimensional data due to the curse of dimensionality. To overcome this problem, several approaches have been proposed to mitigate $k$-anonymity, such as $k^m$-anonymity and $sigma$-$k^m$-anonymity. However, these approaches could only evaluate deterministic anonymization.
Igarashi et al. proposed $Pk$-anonymity to enable probabilistic anonymization. Later, they proved that $k$-anonymity and $Pk$-anonymity are equivalent only for deterministic anonymization. However, $Pk$-anonymity, like $k$-anonymity, suffers from the curse of dimensionality.
We propose $Pk^m$-anonymity, a variant of $k^m$-anonymity, and prove that $k^m$-anonymity and $Pk^m$-anonymity are equivalent in a deterministic privacy mechanism by using the method of Igarashi et al. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
$k^m$-anonymity / $Pk$-anonymity / privacy mechanism / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 129, ISEC2023-53, pp. 255-260, July 2023. |
Paper # |
ISEC2023-53 |
Date of Issue |
2023-07-17 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
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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ISEC2023-53 SITE2023-47 BioX2023-56 HWS2023-53 ICSS2023-50 EMM2023-53 |
Conference Information |
Committee |
EMM BioX ISEC SITE ICSS HWS IPSJ-CSEC IPSJ-SPT |
Conference Date |
2023-07-24 - 2023-07-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Jichiro Kaikan |
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(See Japanese page) |
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Paper Information |
Registration To |
ISEC |
Conference Code |
2023-07-EMM-BioX-ISEC-SITE-ICSS-HWS-CSEC-SPT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extended $k^m$-anonymity for randomization |
Sub Title (in English) |
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$k^m$-anonymity |
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$Pk$-anonymity |
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privacy mechanism |
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1st Author's Name |
Masaya Kobayashi |
1st Author's Affiliation |
Kanagawa University (Kanagawa Univ.) |
2nd Author's Name |
Atsushi Fujioka |
2nd Author's Affiliation |
Kanagawa University (Kanagawa Univ.) |
3rd Author's Name |
Koji Chida |
3rd Author's Affiliation |
Gunma University (Gunma Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-07-25 15:10:00 |
Presentation Time |
20 minutes |
Registration for |
ISEC |
Paper # |
ISEC2023-53, SITE2023-47, BioX2023-56, HWS2023-53, ICSS2023-50, EMM2023-53 |
Volume (vol) |
vol.123 |
Number (no) |
no.129(ISEC), no.130(SITE), no.131(BioX), no.132(HWS), no.133(ICSS), no.134(EMM) |
Page |
pp.255-260 |
#Pages |
6 |
Date of Issue |
2023-07-17 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
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