The privacy preserving method for dynamic trajectory releasing based on adaptive clustering

@article{Xin2017ThePP,
  title={The privacy preserving method for dynamic trajectory releasing based on adaptive clustering},
  author={Yu Xin and Zhiqiang Xie and Jing Yang},
  journal={Inf. Sci.},
  year={2017},
  volume={378},
  pages={131-143}
}
The traditional trajectory privacy preserving methods are static releasing methods, only focusing on the trajectories in a specific time span. Therefore, the traditional methods need to recalculate the last released results, in dealing with dynamic trajectory releasing issues as the new time slice arriving. That would increase the computing costs of dynamic trajectory releasing. Furthermore, the static methods treat the trajectory as the basic unit of clustering, and that is a coarse… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

Towards Real-Time Privacy Preservation: A Streaming Location Anonymous Method Based on Distributed Framework

  • 2018 IEEE International Conference on Communications (ICC)
  • 2018
VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Urban Sensing: Towards Security Efficient Sensing Network Scheme

  • 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
  • 2019
VIEW 1 EXCERPT
CITES METHODS

SLAT: Sub-Trajectory Linkage Attack Tolerance Framework for Privacy-Preserving Trajectory Publishing

  • 2018 International Conference on Networking and Network Applications (NaNA)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

STDP: Secure Privacy-Preserving Trajectory Data Publishing

  • 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
  • 2018
VIEW 2 EXCERPTS
CITES METHODS

Similar Papers