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A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
Joint Authors
Zhong, Jiezhuo
Wu, Wei
Cao, Chunjie
Feng, Wenlong
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhong, Jiezhuo& Wu, Wei& Cao, Chunjie& Feng, Wenlong. 2017. A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175258
Modern Language Association (MLA)
Zhong, Jiezhuo…[et al.]. A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1175258
American Medical Association (AMA)
Zhong, Jiezhuo& Wu, Wei& Cao, Chunjie& Feng, Wenlong. A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175258
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175258