Abstract
Traditional trajectory k-anonymity method might lead to a serious information distortion of trajectory and reduce the data quality. This paper proposes an efficient method to protect trajectory privacy by protecting points of interest, and improve the data quality.
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Zhang, Z., Sun, Y., Xie, X., Pan, H. (2015). An Efficient Method on Trajectory Privacy Preservation. In: Wang, Y., Xiong, H., Argamon, S., Li, X., Li, J. (eds) Big Data Computing and Communications. BigCom 2015. Lecture Notes in Computer Science(), vol 9196. Springer, Cham. https://doi.org/10.1007/978-3-319-22047-5_19
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DOI: https://doi.org/10.1007/978-3-319-22047-5_19
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