Towards trajectory anonymization: a generalization-based approach
By Mehmet Ercan Nergiz, Maurizio Atzori, Yücel Saygin, Baris Güç. International Workshop on Security and Privacy in GIS and LBS, 2008
372 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Epidemiology, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/60e2e5d771086d120fd046450906d1b3683e9aba
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aris Gkoulalas-Divanis
- Marc Pollefeys
- Sudipta N. Sinha
- Natalia V. Andrienko
- Nikos Pelekis
- Yu Zheng
- Johannes L. Schönberger
- Pablo Speciale
In Epidemiology
In Ocean Engineering
Citations in the corpus
- Computing with Spatial Trajectories (2011, background): “been a topic that has attracted a lot of research interest among both philosophers and logicians [41, 63, 44, 123].”
- Semantic trajectories modeling and analysis (2013, background): “…as a whole, without assuming speci.c background knowledge of the malicious observers (i.e., attackers) [Abul et al. 2008; Mohammed et al. 2009; Nergiz et al. 2008], and (ii) those that consider attackers who can effectively link speci.c (location, time) pairs to persons, in order to…”
- Privacy Preserving Image Queries for Camera Localization (2019, background): “Other anonymization approaches for location privacy for mobile systems have been explored [5, 6, 8, 21, 42].”
- Trajectory Data Mining (2015, background): “2008], generalization-based [Nergiz et al. 2009], suppression-based [Terrovitis and Mamoulis 2008], and grid-based [Gid’ofalvi et al.”