An Incentive Approach in Mobile Crowdsensing for Perceptual User
2021 IEEE 46th Conference on Local Computer Networks (LCN)(2021)
摘要
The privacy protection of perceptual user and their enthusiasm improvement for participating in perceptual tasks are two important problems in MCS (Mobile Crowdsensing) network. A mechanism of local differential privacy protection of attribute correlation can generate perceptual results with higher precision of attribute correlation and protect perceptual users’ privacy data. A flow compensation i...
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关键词
Privacy,Differential privacy,Correlation,Crowdsensing,Conferences,Computational modeling,Data protection
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