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  1. 学術論文等

Semantic diversity: Privacy considering distance between values of sensitive attribute

https://uec.repo.nii.ac.jp/records/9664
https://uec.repo.nii.ac.jp/records/9664
900f1795-d224-48c4-90ef-02111919be77
名前 / ファイル ライセンス アクション
Computers Computers & Security 94_101823 (14.4 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2020-10-30
タイトル
言語 en
タイトル Semantic diversity: Privacy considering distance between values of sensitive attribute
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 Computer security
キーワード
言語 en
主題Scheme Other
主題 Privacy preserving data publishing
キーワード
言語 en
主題Scheme Other
主題 Anonymity
キーワード
言語 en
主題Scheme Other
主題 l-diversity
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Oishi, Keiichiro

× Oishi, Keiichiro

WEKO 26042

en Oishi, Keiichiro

Search repository
Sei, Yuichi

× Sei, Yuichi

WEKO 26043

en Sei, Yuichi

Search repository
Tahara, Yasuyuki

× Tahara, Yasuyuki

WEKO 26044

en Tahara, Yasuyuki

Search repository
Ohsuga, Akihiko

× Ohsuga, Akihiko

WEKO 26045

en Ohsuga, Akihiko

Search repository
抄録
内容記述タイプ Abstract
内容記述 A database that contains personal information and is collected by crowdsensing can be used for various purposes. Therefore, database holders may want to share their databases with other organizations. However, since a database contains information about individuals, database recipients must take privacy concerns into consideration. One of the mainstream privacy protection indicators, l-diversity, guarantees that the probability of identifying a sensitive attribute value of an individual in a database is less than 1/l. However, when there are several semantically similar values in the sensitive attribute, there is a possibility that actual diversity is not satisfied, even if anonymization is performed to satisfy l-diversity. For example, an attacker may know that candidates of Alice’s disease are a set of HIV-1(M), HIV-1(N), and HIV-2 if the anonymized database satisfies 3-diversity. In this case, the attacker can conclude that Alice has HIV, although the detailed type remains unknown. In this research, to solve how actual diversity cannot be taken into consideration with existing l-diversity, we proposed a novel privacy indicator, (l, d)-semantic diversity, and an algorithm that anonymizes a database to satisfy (l, d)-semantic diversity. We also proposed an analysis algorithm that is suitable for the proposed anonymizing algorithm because the output of the anonymizing algorithm is difficult to understand. Our proposed algorithms were experimentally evaluated using synthetic and real datasets.
書誌情報 en : Computers & Security

巻 94, p. 101823-10182, 発行日 2020-07
出版者
出版者 Elsevier
ISSN
収録物識別子タイプ ISSN
収録物識別子 0167-4048
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1016/j.cose.2020.101823
権利
権利情報 © 2020 Elsevier Ltd. All rights reserved.
関連サイト
識別子タイプ DOI
関連識別子 https://doi.org/10.1016/j.cose.2020.101823
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
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