Achieve Location Privacy-Preserving Range Query in Vehicular Sensing

@article{Kong2017AchieveLP,
  title={Achieve Location Privacy-Preserving Range Query in Vehicular Sensing},
  author={Qinglei Kong and Rongxing Lu and M. Ma and Haiyong Bao},
  journal={Sensors (Basel, Switzerland)},
  year={2017},
  volume={17}
}
Modern vehicles are equipped with a plethora of on-board sensors and large on-board storage, which enables them to gather and store various local-relevant data. However, the wide application of vehicular sensing has its own challenges, among which location-privacy preservation and data query accuracy are two critical problems. In this paper, we propose a novel range query scheme, which helps the data requester to accurately retrieve the sensed data from the distributive on-board storage in… Expand
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