A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network

Mobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services. MCS is emerging as a most important sensing paradigm. However, the perso...

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Main Authors: Jiezhuo Zhong, Wei Wu, Chunjie Cao, Wenlong Feng
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/3053202
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spelling doaj-bafa0ef2a43a40d6b83556e12f93a30a2021-07-02T06:02:55ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/30532023053202A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing NetworkJiezhuo Zhong0Wei Wu1Chunjie Cao2Wenlong Feng3College of Information Science and Technology, Hainan University, Haikou, Hainan, ChinaCollege of Information Science and Technology, Hainan University, Haikou, Hainan, ChinaCollege of Information Science and Technology, Hainan University, Haikou, Hainan, ChinaCollege of Information Science and Technology, Hainan University, Haikou, Hainan, ChinaMobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services. MCS is emerging as a most important sensing paradigm. However, the person-centered sensing itself carries the risk of divulging users’ privacy. To address this problem, we proposed a variable weight privacy-preserving algorithm of secure multiparty computation. This algorithm is based on privacy-preserving utility and its effectiveness and feasibility are demonstrated through experiment.http://dx.doi.org/10.1155/2017/3053202
collection DOAJ
language English
format Article
sources DOAJ
author Jiezhuo Zhong
Wei Wu
Chunjie Cao
Wenlong Feng
spellingShingle Jiezhuo Zhong
Wei Wu
Chunjie Cao
Wenlong Feng
A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
Journal of Electrical and Computer Engineering
author_facet Jiezhuo Zhong
Wei Wu
Chunjie Cao
Wenlong Feng
author_sort Jiezhuo Zhong
title A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
title_short A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
title_full A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
title_fullStr A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
title_full_unstemmed A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
title_sort variable weight privacy-preserving algorithm for the mobile crowd sensing network
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2017-01-01
description Mobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services. MCS is emerging as a most important sensing paradigm. However, the person-centered sensing itself carries the risk of divulging users’ privacy. To address this problem, we proposed a variable weight privacy-preserving algorithm of secure multiparty computation. This algorithm is based on privacy-preserving utility and its effectiveness and feasibility are demonstrated through experiment.
url http://dx.doi.org/10.1155/2017/3053202
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