An Incentive Approach in Mobile Crowdsensing for Perceptual User

2021 IEEE 46th Conference on Local Computer Networks (LCN)(2021)

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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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