Data Privacy in the Emerging Connected Mobility Services: Architecture, Use Cases, Privacy Risks, and Countermeasures 11-02-01-0004
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SAE International Journal of Transportation Cybersecurity and Privacy-V128-11EJ
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.
Citation: Li, H., Ma, D., Medjahed, B., Kim, Y. et al., "Data Privacy in the Emerging Connected Mobility Services: Architecture, Use Cases, Privacy Risks, and Countermeasures," SAE Int. J. Transp. Cyber. & Privacy 2(1):49-61, 2019, https://doi.org/10.4271/11-02-01-0004. Download Citation
Huaxin Li, Di Ma, Brahim Medjahed, Yu Seung Kim, Pramita Mitra
University of Michigan–Dearborn, USA, Ford Motor Company, USA