Privacy preservation for participatory sensing data

@article{Boutsis2013PrivacyPF,
  title={Privacy preservation for participatory sensing data},
  author={Ioannis Boutsis and Vana Kalogeraki},
  journal={2013 IEEE International Conference on Pervasive Computing and Communications (PerCom)},
  year={2013},
  pages={103-113}
}
Over the recent years, the proliferation of mobile networking and the increasing capabilities of smartphone devices have led to the development of “Participatory Sensing” applications, where users actively participate in data collection and sharing in a wide range of application domains from entertainment, to transportation, to environmental monitoring. One important challenge in these settings is privacy preservation for participatory sensing data, such as user trajectories. This paper… CONTINUE READING
Highly Cited
This paper has 91 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
51 Extracted Citations
28 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 51 extracted citations

92 Citations

0204020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 92 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 28 references

Rapid detection of rare geospatial events : earthquake warning applications Privacy - aware querying over sensitive trajectory data

  • V. Kalogeraki A. Dou, A. H. Liu, K. M. Chandy
  • 2011

Similar Papers

Loading similar papers…