Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles

Author:

Duan Yicun,Liu Junyu,Ming Xiaoxing,Jin Wangkai,Song Zilin,Peng Xiangjun

Publisher

Springer Nature Switzerland

Reference41 articles.

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2. Aman, M.N., Javaid, U., Sikdar, B.: A privacy-preserving and scalable authentication protocol for the internet of vehicles. IEEE Internet Things J. 8(2), 1123–1139 (2021). https://doi.org/10.1109/JIOT.2020.3010893. https://doi.org/10.1109/JIOT.2020.3010893

3. Barak, B., Chaudhuri, K., Dwork, C., Kale, S., McSherry, F., Talwar, K.: Privacy, accuracy, and consistency too: A holistic solution to contingency table release. In: Proceedings of the Twenty-Sixth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 273–282. PODS 2007, Association for Computing Machinery, New York, NY, USA (2007). https://doi.org/10.1145/1265530.1265569

4. Bi, Z., Ming, X., Liu, J., Peng, X., Jin, W.: FIGCONs: exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers’ Statistics. In: International Conference on Human-Computer Interaction (2023)

5. Chen, L.W., Chang, C.C.: Cooperative traffic control with green wave coordination for multiple intersections based on the internet of vehicles. IEEE Trans. Syst. Man Cybern. Syst. 47(7), 1321–1335 (2017). https://doi.org/10.1109/TSMC.2016.2586500

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