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Privacy Preservation for Trajectory Data Publishing and Heuristic Approach
2017With 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
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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), 2022Wanqing Wu, Ruohe Lei, Xin Yang
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Trajectory Data Publishing Method with Local Differential Privacy
2023 IEEE International Conference on Unmanned Systems (ICUS), 2023Haidong Wu, Xingfa Shen, Chuntong Geng
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Differentially private trajectory event streams publishing under data dependence constraints
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan Shen +5 more
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Vehicle Trajectory Data Publishing Mechanism Based on Differential Privacy
2021 China Automation Congress (CAC), 2021Shanbin Li, Zhiyin Qi, Qinxue Li
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Similarity-based privacy protection for publishing k-anonymous trajectories
Frontiers of Computer Science, 2021Shuai Wang, Chunyi Chen, Guijie Zhang
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A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
IEEE Transactions on Knowledge and Data Engineering, 2022Fengmei Jin, Wen Hua, Matteo Francia
exaly
Differential-Privacy Preserving Trajectory Data Publishing forĀ Road Networks
2023Songyuan Li +3 more
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Differential Privacy Trajectory Data Publishing Method Based on RNN
2023 IEEE 14th International Conference on Software Engineering and Service Science (ICSESS), 2023openaire +1 more source

