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A Privacy-Preserving Trajectory Publishing Method Based on Multi-Dimensional Sub-Trajectory Similarities [PDF]
Sensors, 2023 With the popularity of location services and the widespread use of trajectory data, trajectory privacy protection has become a popular research area. k-anonymity technology is a common method for achieving privacy-preserved trajectory publishing.
Hua Shen, Yu Wang, Mingwu Zhang
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KSDP scheme for trajectory data publishing
Shenzhen Daxue xuebao. Ligong ban, 2023 For clustering applications in the field of trajectory privacy protection, the k-means algorithm is sensitive to initial values and the number of clusters may be somewhat arbitrary.
ZHANG Jun +4 more
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Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion
ISPRS International Journal of Geo-Information, 2021 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
Songyuan Li +3 more
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A trajectory data publishing algorithm satisfying local suppression [PDF]
International Journal of Distributed Sensor Networks, 2021 Suppressing the trajectory data to be released can effectively reduce the risk of user privacy leakage. However, the global suppression of the data set to meet the traditional privacy model method reduces the availability of trajectory data.
Xiaohui Li +3 more
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A Semantic-Based Approach for Privacy-Preserving in Trajectory Publishing [PDF]
IEEE Access, 2020 The increasing abundance of data in the trajectories of personal movement opens up new opportunities for analyzing and mining human mobility. But the inherent personal information in the data raises the privacy concern.
Ayong Ye +5 more
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Risk-Aware Individual Trajectory Data Publishing With Differential Privacy [PDF]
IEEE Access, 2021 Large-scale spatiotemporal data mining has created valuable insights into managing key areas of society and the economy. It has encouraged data owners to release/publish trajectory datasets. However, the ill-informed publication of such valuable datasets
Jianzhe Zhao +4 more
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CLM:differential privacy protection method for trajectory publishing
Tongxin xuebao, 2017 In order to solve the problem existing in differential privacy preserving publishing methods that the independent noise was easy to be filtered out,a differential privacy publishing method for trajectory data (CLM),was proposed.A correlated Laplace ...
Hao WANG +3 more
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Tongxin xuebao, 2016 The spatiotemporal correlation was analyzed between neighboring locations and the trajectories similarity from the movement direction, the reachable time between neighboring locations and the movement distance, and a dummy trajectory privacy protection ...
Kai-yue LEI +5 more
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Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing [PDF]
Journal of Computer Science and Technology, 2022 With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices, trajectory data is continuously growing. While large-scale trajectories provide opportunities for various applications, the locations in trajectories pose a threat to individual privacy.
Sun, She +5 more
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Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy
Entropy, 2022 The publication of trajectory data provides critical information for various location-based services, and it is critical to publish trajectory data safely while ensuring its availability.
Jing Zhang +4 more
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