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Privacy Preservation for Trajectory Data Publishing and Heuristic Approach

2017
With the increasing of location-aware devices, it is easy to collect the trajectory of a person which can be represented as a sequence of visited locations with regard to timestamps. The trajectory data publishing can be useful in real-life applications, such as location-based advertising, traffic management, and geo-marketing.
Nattapon Harnsamut, Juggapong Natwichai
openaire   +1 more source

A Trajectory Privacy Protection Publishing Method Based on Trajectory Segment Graph Division

2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), 2022
Wanqing Wu, Ruohe Lei, Xin Yang
openaire   +1 more source

Trajectory Data Publishing Method with Local Differential Privacy

2023 IEEE International Conference on Unmanned Systems (ICUS), 2023
Haidong Wu, Xingfa Shen, Chuntong Geng
openaire   +1 more source

Differentially private trajectory event streams publishing under data dependence constraints

Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan Shen   +5 more
openaire   +2 more sources

Vehicle Trajectory Data Publishing Mechanism Based on Differential Privacy

2021 China Automation Congress (CAC), 2021
Shanbin Li, Zhiyin Qi, Qinxue Li
openaire   +1 more source

Similarity-based privacy protection for publishing k-anonymous trajectories

Frontiers of Computer Science, 2021
Shuai Wang, Chunyi Chen, Guijie Zhang
openaire   +1 more source

A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing

IEEE Transactions on Knowledge and Data Engineering, 2022
Fengmei Jin, Wen Hua, Matteo Francia
exaly  

Differential Privacy Trajectory Data Publishing Method Based on RNN

2023 IEEE 14th International Conference on Software Engineering and Service Science (ICSESS), 2023
openaire   +1 more source

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