• Computer Science
  • Published in ArXiv 2017

The Accuracy-Privacy Tradeoff of Mobile Crowdsensing

@article{Alsheikh2017TheAT,
  title={The Accuracy-Privacy Tradeoff of Mobile Crowdsensing},
  author={Mohammad Abu Alsheikh and Yutao Jiao and Dusit Niyato and Ping Wang and Derek Leong and Zhu Han},
  journal={ArXiv},
  year={2017},
  volume={abs/1702.04565}
}
Highlight Information
Mobile crowdsensing has emerged as an efficient sensing paradigm which combines the crowd intelligence and the sensing power of mobile devices, e.g.,~mobile phones and Internet of Things (IoT) gadgets. [...] Key Method We then propose a truthful mechanism for achieving high service accuracy while protecting the privacy based on the user preferences. The users are incentivized to provide true data by being paid based on their individual contribution to the overall service accuracy.Expand Abstract
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Citations

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Secure Mobile Crowdsensing with Deep Learning

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Privacy Protection-Oriented Mobile Crowdsensing Analysis Based on Game Theory

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