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Xin Yao, Juan Yu, Jianmin Han, Jianfeng Lu, Hao Peng, Yijia Wu and Xiaoqian Cao
Generating differentially private synthetic human mobility trajectories from real trajectories is a commonly used approach for privacy-preserving trajectory publishing. However, existing synthetic trajectory generation methods suffer from the drawbacks o...
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Songyuan Li, Hui Tian, Hong Shen and Yingpeng Sang
Publication of trajectory data that contain rich information of vehicles in the dimensions of time and space (location) enables online monitoring and supervision of vehicles in motion and offline traffic analysis for various management tasks. However, it...
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Yuelei Xiao and Haiqi Li
Privacy preserving data publishing has received considerable attention for publishing useful information while preserving data privacy. The existing privacy preserving data publishing methods for multiple sensitive attributes do not consider the situatio...
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Widodo, Eko Kuswardono Budiardjo and Wahyu Catur Wibowo
Investigation into privacy preserving data publishing with multiple sensitive attributes is performed to reduce probability of adversaries to guess the sensitive values. Masking the sensitive values is usually performed by anonymizing data by using gener...
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A S M Touhidul Hasan, Qingshan Jiang and Chengming Li
Bike sharing programs are eco-friendly transportation systems that are widespread in smart city environments. In this paper, we study the problem of privacy-preserving bike sharing microdata publishing. Bike sharing systems collect visiting information a...
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