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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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 |
work_keys_str_mv |
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_version_ |
1721337853909139456 |