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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Ding, J., Ni, C.C., Zhou, M., Gao, J.: Minhash hierarchy for privacy preserving trajectory sensing and query. In: 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 17–28. IEEE (2017)
Guo, L., et al.: A secure mechanism for big data collection in large scale Internet of vehicle. IEEE Internet Things J. 4(2), 601–610 (2017). https://doi.org/10.1109/JIOT.2017.2686451
Guo, N., Ma, L., Gao, T.: Independent mix zone for location privacy in vehicular networks. IEEE Access 6, 16842–16850 (2018). https://doi.org/10.1109/ACCESS.2018.2800907
He, Y., Zhao, N., Yin, H.: Integrated networking, caching, and computing for connected vehicles: a deep reinforcement learning approach. IEEE Trans. Veh. Technol. 67(1), 44–55 (2018). https://doi.org/10.1109/TVT.2017.2760281
Hussain, R., et al.: Secure and privacy-aware incentives-based witness service in social Internet of vehicles clouds. IEEE Internet Things J. 5(4), 2441–2448 (2018). https://doi.org/10.1109/JIOT.2018.2847249
Joy, J., Gerla, M.: Internet of vehicles and autonomous connected car-privacy and security issues. In: 2017 26th International Conference on Computer Communication and Networks (ICCCN), pp. 1–9. IEEE (2017). https://doi.org/10.1109/ICCCN.2017.8038391
Kalnis, P., Mamoulis, N., Bakiras, S.: On discovering moving clusters in spatio-temporal data. In: Bauzer Medeiros, C., Egenhofer, M.J., Bertino, E. (eds.) SSTD 2005. LNCS, vol. 3633, pp. 364–381. Springer, Heidelberg (2005). https://doi.org/10.1007/11535331_21
Kang, J., Yu, R., Huang, X., Zhang, Y.: Privacy-preserved pseudonym scheme for fog computing supported Internet of vehicles. IEEE Trans. Intell. Transp. Syst. 19(8), 2627–2637 (2017). https://doi.org/10.1109/TITS.2017.2764095
Lim, J., Yu, H., Kim, K., Kim, M., Lee, S.B.: Preserving location privacy of connected vehicles with highly accurate location updates. IEEE Commun. Lett. 21(3), 540–543 (2017). https://doi.org/10.1109/LCOMM.2016.2637902
Liu, H., Zhang, Y., Yang, T.: Blockchain-enabled security in electric vehicles cloud and edge computing. IEEE Netw. 32(3), 78–83 (2018). https://doi.org/10.1109/MNET.2018.1700344
Liu, Y., Wang, Y., Chang, G.: Efficient privacy-preserving dual authentication and key agreement scheme for secure V2V communications in an IoV paradigm. IEEE Trans. Intell. Transp. Syst. 18(10), 2740–2749 (2017). https://doi.org/10.1109/TITS.2017.2657649
Mason, J.C., Handscomb, D.C.: Chebyshev Polynomials. Chapman and Hall/CRC (2002)
Niu, B., Zhang, Z., Li, X., Li, H.: Privacy-area aware dummy generation algorithms for location-based services. In: 2014 IEEE International Conference on Communications (ICC), pp. 957–962. IEEE (2014). https://doi.org/10.1109/ICC.2014.6883443
Wang, L., Liu, X.: NOTSA: novel OBU with three-level security architecture for Internet of vehicles. IEEE Internet Things J. 5(5), 3548–3558 (2018). https://doi.org/10.1109/JIOT.2018.2800281
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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