Deakin University
Browse

File(s) under permanent embargo

Privacy-preserving publication of trajectories using microaggregation

conference contribution
posted on 2010-12-01, 00:00 authored by J Domingo-Ferrer, M Sramka, R Trujillo-Rasúa
Huge amounts of movement data are automatically collected by technologies such as GPS, GSM, RFID, etc. Publishing such data is essential to improve transportation, to understand the dynamics of the economy in a region, etc. However, there are obvious threats to the privacy of individuals if their trajectories are published in a way which allows reidentification of the individual behind a trajectory. We contribute to the literature on privacy-preserving publication of trajectories by presenting: i) a distance measure for trajectories which naturally considers both spatial and temporal aspects of trajectories, is computable in polynomial time, and can cluster trajectories not defined over the same time span (something that previously proposed methods could not do); ii) a method to replace a cluster of trajectories by synthetic data that preserve all the visited locations and the number of original trajectories, among other features; iii) a comparison of our method with (κ, δ)-anonymity [1] using trajectories generated by the Brinkhoff's generator [4] in the city of Oldenburg. Copyright 2010 ACM.

History

Pagination

26-33

Location

San Jose, Calif.

Start date

2010-11-02

End date

2010-11-02

ISBN-13

9781450304351

Publication classification

EN.1 Other conference paper

Title of proceedings

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, SPRINGL 2010

Event

SPRINGL '10 Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS

Publisher

ACM

Place of publication

New York, N.Y.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC