Abstract
Differential privacy is an effective measure of privacy protection in data analysis. We propose a differential private trajectory data publication method based on consistency constraints in road network space to significantly improve the accuracy of a general class of trajectory statistics queries. First of all, Laplace noise is injected into statistical data of each road segment. And then, in the post-processing phase, consistency constraint is employed to hold over the noisy output. Based on both synthetic datasets, we do experiments to evaluate the performance of the proposed method. The experimental results show that the proposed method achieves high availability and efficiency.
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Acknowledgments
This work was supported in part by the Hunan Provincial Natural Science Foundation of China (Grant number 2020JJ4317). And the Hunan Provincial Science Popularization Project of China (Grant number 2020ZK4032).
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Jiang, S., Liao, J., Zhang, S., Zhu, G., Wang, S., Liang, W. (2021). A Post-processing Trajectory Publication Method Under Differential Privacy. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2020. Lecture Notes in Computer Science(), vol 12608. Springer, Cham. https://doi.org/10.1007/978-3-030-74717-6_1
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DOI: https://doi.org/10.1007/978-3-030-74717-6_1
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