Oct. 6, 2022, 1:20 a.m. | Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

cs.CR updates on arXiv.org arxiv.org

Publishing trajectory data (individual's movement information) is very
useful, but it also raises privacy concerns. To handle the privacy concern, in
this paper, we apply differential privacy, the standard technique for data
privacy, together with Markov chain model, to generate synthetic trajectories.
We notice that existing studies all use Markov chain model and thus propose a
framework to analyze the usage of the Markov chain model in this problem. Based
on the analysis, we come up with an effective algorithm …

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