Privacy in trajectory micro-data publishing : a survey
Not on the map. Why?
Abstract (arXiv)
We survey the literature on the privacy of trajectory micro-data, i.e., spatiotemporal information about the mobility of individuals, whose collection is becoming increasingly simple and frequent thanks to emerging information and communication technologies. The focus of our review is on privacy-preserving data publishing (PPDP), i.e., the publication of databases of trajectory micro-data that preserve the privacy of the monitored individuals. We classify and present the literature of attacks against trajectory micro-data, as well as solutions proposed to date for protecting databases from such attacks. This paper serves as an introductory reading on a critical subject in an era of growing awareness about privacy risks connected to digital services, and provides insights into open problems and future directions for research.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Mar 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 0; 2025: 1.
5 papers.
- 2023SoK: Privacy-Preserving Data Synthesiscited by 38
- 2022Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacycited by 7
- 2023CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approachescited by 6
- 2023Generating Individual Trajectories Using GPT-2 Trained from Scratch on Encoded Spatiotemporal Datacited by 1
- 2025From Narrative to Action: A Hierarchical LLM-Agent Framework for Human Mobility Generationcited by 1
- 2025From Narrative to Action: A Hierarchical LLM-Agent Framework for Human Mobility Generation28 Oct 2025
- 2023CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches20 Sep 2023
- 2023Generating Individual Trajectories Using GPT-2 Trained from Scratch on Encoded Spatiotemporal Data14 Aug 2023
- 2023SoK: Privacy-Preserving Data Synthesis5 Jul 2023
- 2022Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy4 Jan 2022