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A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
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نویسنده
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zhong j. ,wu w. ,cao c. ,feng w.
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منبع
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journal of electrical and computer engineering - 2017 - دوره : 2017 - شماره : 0
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چکیده
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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. © 2017 jiezhuo zhong et al.
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آدرس
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college of information science and technology,hainan university,haikou,hainan, China, college of information science and technology,hainan university,haikou,hainan,china,institute of deep-sea science and engineering,chinese academy of sciences,sanya,hainan, China, college of information science and technology,hainan university,haikou,hainan,china,state key laboratory of marine resource utilization in the south china sea,hainan university,haikou,hainan, China, college of information science and technology,hainan university,haikou,hainan, China
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Authors
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