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Differentially Private Mobile Crowd Sensing Considering Sensing Errors

https://uec.repo.nii.ac.jp/records/9665
https://uec.repo.nii.ac.jp/records/9665
a47ace89-069f-4b77-ac6e-8fbf8de2c197
名前 / ファイル ライセンス アクション
sensors-20-02785-v2.pdf sensors-20-02785-v2 (1.7 MB)
CC BY
Item type 学術雑誌論文 / Journal Article(1)
公開日 2020-10-30
タイトル
タイトル Differentially Private Mobile Crowd Sensing Considering Sensing Errors
言語 en
言語
言語 eng
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 Sei, Yuichi

× Sei, Yuichi

en Sei, Yuichi

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Ohsuga, Akihiko

× Ohsuga, Akihiko

en Ohsuga, Akihiko

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抄録
内容記述タイプ Abstract
内容記述 An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method, such as privacy violations, considerable research has been conducted over the last decade to develop participatory sensing that looks to preserve privacy while analyzing participants’ surrounding information. To protect privacy, each participant perturbs the sensed data in his or her device, then the perturbed data is reported to the data collector. The data collector estimates the true data distribution from the reported data. As long as the data contains no sensing errors, current methods can accurately evaluate the data distribution. However, there has so far been little analysis of data that contains sensing errors. A more precise analysis that maintains privacy levels can only be achieved when a variety of sensing errors are considered.
書誌情報 en : Sensors

巻 20, 号 10, p. 2785-2785, 発行日 2020
出版者
出版者 MDPI
ISSN
収録物識別子タイプ ISSN
収録物識別子 1424-8220
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.3390/s20102785
権利
権利情報 © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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識別子タイプ DOI
関連識別子 https://doi.org/10.3390/s20102785
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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