Abstract
Due to the limited communication range and the unbalance distribution of Wi-Fi access points, the disconnection gap during vehicular Internet access almost depends on the access point distribution along the driving path. In this way, with the vehicle mobility statistics, the service provider of account-based web service (i.e., Email and Weblog) could mine the current access point of an interested account owner by the sequence of disconnection gap. As the first paper to study this issue, we propose a probability algorithm for location mining that can be computed recursively with the length of communication feature sequence. Real map based simulations evaluate the location privacy threat and the relationship with the density of access points and communication feature classes.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant No. 61202482, No. 61303264, No. 61202488, and No. 61379148.
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Sun, Y., Chen, S., Han, B., Zhang, B., Su, J. (2015). A Novel Location Privacy Mining Threat in Vehicular Internet Access Service. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_46
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DOI: https://doi.org/10.1007/978-3-319-21837-3_46
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