Results 11 to 20 of about 87,604 (282)
Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion [PDF]
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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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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Trajectory privacy data publishing scheme based on local optimisation and R-tree
Connection Science, 2023 The proliferation of location-based service applications has led to a substantial surge in the amount of life trajectory data produced by mobile devices. And these data frequently contain confidential personal details.
Peiqian Liu +3 more
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Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing. [PDF]
J Comput Sci Technol, 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 S +5 more
europepmc +5 more sources
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 <div>Trajectory data has become ubiquitous nowadays, which can benefit various real-world applications such as traffic management and location-based services. However, trajectories may disclose highly sensitive information of an individual including mobility patterns, personal profiles and gazetteers, social relationships, etc, making it ...
Fengmei Jin +5 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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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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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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Privacy-preserving trajectory data publishing by local suppression [PDF]
Information Sciences, 2013 The pervasiveness of location-aware devices has spawned extensive research in trajectory data mining, resulting in many important real-life applications. Yet, the privacy issue in sharing trajectory data among different parties often creates an obstacle for effective data mining.
Rui Chen 0012 +4 more
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Privacy and Utility Preserving Trajectory Data Publishing for Intelligent Transportation Systems [PDF]
IEEE Access, 2020 Nowadays, the extensive collection and storage of massive personal GPS data in intelligent transportation systems every day provide great convenience for trajectory data analysis and mining research, thus bringing valuable information for real-life ...
Xiangwen Liu, Yuquan Zhu
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