A prototype for anonymizing trajectories from a time series perspective

Sergi Martínez-Bea

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    © Springer International Publishing Switzerland 2015. The evolution and expansion of location tracking technologies such as GPS, RFID, etc. and their integration with handheld devices, created a new trend of services and applications based on location information. However, location data is sensible data that could seriously compromise the privacy of the individuals. There is a large body of research in the area of location privacy,where researchers try to tackle this privacy problem. In this article we describe one of the systems implemented in the ARES project to anonymize trajectories of cars in a prototype, following an approach based on time series.
    Original languageEnglish
    Pages (from-to)215-227
    JournalStudies in Computational Intelligence
    Volume567
    DOIs
    Publication statusPublished - 1 Jan 2015

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