Floating Car Data (FCD) is a valuable source of up-to-date traffic information, with a wide range of applications. Active floating car data techniques require drivers to have their vehicles equipped with on-board units regularly transmitting position and velocity information to a central server. Many potential participants are hence reluctant to join FCD projects because of violations of their privacy due to permanent traceability or possible liability in case of speed limit violations. The authors present a general method for anonymization of floating car data by deriving pseudonyms for trips and samples with the optional ability of relating samples to trips and trips to each other, whilst hiding the identity of a driver, hence protecting his privacy. The resulting concepts are easy to implement and can be used as building blocks for any FCD system with stringent security constraints. The main advantage of the approach is the guaranteed uniqueness of pseudonyms that can be achieved efficiently, i.e. without any communication between vehicles.


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    Titel :

    How to protect privacy in floating car data systems


    Weitere Titelangaben:

    Ein Verfahren zur Gewährung der Privatsphäre in VANET's


    Beteiligte:
    Rass, Stefan (Autor:in) / Fuchs, Simone (Autor:in) / Schaffer, Martin (Autor:in) / Kyamakya, Kyandoghere (Autor:in)


    Erscheinungsdatum :

    2008


    Format / Umfang :

    6 Seiten, 2 Bilder, 22 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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