Abstract
The mobile edge computing is an attractive system paradigm to perform the local data processing and interactions at the edge of networks. The mobile edge computing enabled the internet of vehicles (MEC-IoV) is emerging as a convergence of the internet of things and mobile vehicular networks. The virtual vehicle shadow based privacy preservation scheme is proposed to address the cooperative scenarios, in which predictive location and segmented secret are jointly considered for protocol design. Meanwhile, the MinHash based similarity computing and the selective disclosure mechanism are respectively introduced for location and identity privacy preservation. The proposed scheme launches a new perspective of cooperative privacy preservation in the MEC-IoV with enhanced security requirements; it is suitable for the cooperative edge computing applications.
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Acknowledgment
This work is funded by the National Key R&D Program of China (2017YFB0802300), and National Natural Science Foundation of China (61601129). This work is partially supported by the Shanghai Science and Technology Commission Program (No. 18511105700).
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Luo, J., Liu, H., Cheng, Q. (2019). Cooperative Privacy Preservation for Internet of Vehicles with Mobile Edge Computing. In: Vaidya, J., Zhang, X., Li, J. (eds) Cyberspace Safety and Security. CSS 2019. Lecture Notes in Computer Science(), vol 11982. Springer, Cham. https://doi.org/10.1007/978-3-030-37337-5_24
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DOI: https://doi.org/10.1007/978-3-030-37337-5_24
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