The rapid development of connected and automated vehicle technologies together with cloud-based mobility services is transforming the transportation industry. As a result, huge amounts of consumer data are being collected and utilized to provide personalized mobility services. Using big data poses serious challenges to data privacy. To that end, the risks of privacy leakage are amplified by data aggregations from multiple sources and exchanging data with third-party service providers, in face of the recent advances in data analytics. This article provides a review of the connected vehicle landscape from case studies, system characteristics, and dataflows. It also identifies potential challenges and countermeasures.


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    Title :

    Data Privacy in the Emerging Connected Mobility Services: Architecture, Use Cases, Privacy Risks, and Countermeasures


    Additional title:

    Sae Int. J. Transp. Cyber. and Privacy


    Contributors:
    Medjahed, Brahim (author) / Ma, Di (author) / Li, Huaxin (author) / Mitra, Pramita (author) / Kim, Yu Seung (author)


    Publication date :

    2019-10-14


    Size :

    13 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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