Abstract
Due to the increasing use of location-aware devices such as smartphones, there is a large amount of available trajectory data whose improper use or publication can threaten users’ privacy. Since trajectory information contains personal mobility data, it may reveal sensitive details like habits of behavior, religious beliefs, and sexual preferences. Current solutions focus on anonymizing data before its publication. Nevertheless, we argue that this approach gives the user no control about the information she shares. For this reason, we propose a novel approach that works inside users’ mobile devices, where users can decide and configure the quantity and accuracy of shared data.
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Acknowledgments
This work was partly funded by the Spanish Government through grants TIN2011-27076-C03-02 “CO-PRIVACY” and TIN2014-57364-C2-2-R “SMARTGLACIS”.
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Romero-Tris, C., Megías, D. (2016). User-Centric Privacy-Preserving Collection and Analysis of Trajectory Data. In: Garcia-Alfaro, J., Navarro-Arribas, G., Aldini, A., Martinelli, F., Suri, N. (eds) Data Privacy Management, and Security Assurance. DPM QASA 2015 2015. Lecture Notes in Computer Science(), vol 9481. Springer, Cham. https://doi.org/10.1007/978-3-319-29883-2_17
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DOI: https://doi.org/10.1007/978-3-319-29883-2_17
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