Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy [PDF]
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
doaj +7 more sources
A Trajectory Privacy Protection Method Based on Random Sampling Differential Privacy [PDF]
ISPRS International Journal of Geo-Information, 2021 With the popularity of location-aware devices (e.g., smart phones), a large number of trajectory data were collected. The trajectory dataset can be used in many fields including traffic monitoring, market analysis, city management, etc.
Tinghuai Ma, Fagen Song
doaj +5 more sources
Trajectory privacy protection scheme based on differential privacy [PDF]
Tongxin xuebao, 2021 To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient ...
Si CHEN +3 more
doaj +5 more sources
Differential privacy protection method based on published trajectory cross-correlation constraint.
PLoS ONE, 2020 Aiming to solve the problem of low data utilization and privacy protection, a personalized differential privacy protection method based on cross-correlation constraints is proposed.
Zhaowei Hu, Jing Yang
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
IFTS: A Location Privacy Protection Method Based on Initial and Final Trajectory Segments
IEEE Access, 2021 Privacy protection problem is one of the most concerning issues related to Location-Based Services (LBS) in our daily life. Privacy protection of LBS often requires anonymizing customer's trajectory data.
Jiuyun Xu +5 more
doaj +3 more sources
Shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means [PDF]
Tongxin xuebao, 2021 To solve the problem that most studies had not fully considered the sensitivity of location to privacy budget and the influence of trajectory shape, which made the usability of published trajectory poor, a shape similarity differential privacy trajectory
Suxia ZHU, Shulun LIU, Guanglu SUN
doaj +4 more sources
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection [PDF]
CoRR, 2020 16 pages, 7 figures, in the Proceedings of the 11th International Conference on Geographic Information Science (GIScience 2021)
Jinmeng Rao +3 more
openaire +5 more sources
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
doaj +2 more sources