Towards trajectory anonymization: a generalization-based approach

  title={Towards trajectory anonymization: a generalization-based approach},
  author={Mehmet Ercan Nergiz and Maurizio Atzori and Y{\"u}cel Saygin},
Trajectory datasets are becoming more and more popular due to the massive usage of GPS and other location-based devices and services. In this paper, we address privacy issues regarding the identification of individuals in static trajectory datasets. We provide privacy protection by definig trajectory k-anonymity, meaning every released information refers to at least k users/trajectories. We propose a novel generalization-based approach that applies to trajectories and sequences in general. We… CONTINUE READING
Highly Influential
This paper has highly influenced 16 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 222 citations. REVIEW CITATIONS
127 Citations
0 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 127 extracted citations

223 Citations

Citations per Year
Semantic Scholar estimates that this publication has 223 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…