A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network. (5th June 2017)

• Record Type: Journal Article
• Authors: Zhong, Jiezhuo; Wu, Wei; Cao, Chunjie; Feng, Wenlong
• Other Names: Lu Zhuo Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2017(2017)
• Publication Date: 2017-06-05
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2017/3053202
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : 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.