Privacy of trajectory micro-data : a survey

03/26/2019
by   Marco Fiore, et al.
0

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.

READ FULL TEXT
research
02/18/2023

Digital Privacy Under Attack: Challenges and Enablers

Users have renewed interest in protecting their private data in the digi...
research
09/20/2023

CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches

The prevalence of ubiquitous location-aware devices and mobile Internet ...
research
07/31/2023

A Trajectory K-Anonymity Model Based on Point Density and Partition

As people's daily life becomes increasingly inseparable from various mob...
research
05/24/2022

Releasing survey microdata with exact cluster locations and additional privacy safeguards

Household survey programs around the world publish fine-granular georefe...
research
11/18/2020

Privacy metrics for trajectory data based on k-anonymity, l-diversity and t-closeness

Mobility patterns of vehicles and people provide powerful data sources f...
research
04/18/2023

Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services

Micro-mobility services (e.g., e-bikes, e-scooters) are increasingly pop...
research
02/24/2019

Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets

The big data era requires a growing number of companies to publish their...

Please sign up or login with your details

Forgot password? Click here to reset