Novel trajectory data publishing method under differential privacy
Expert Systems with Applications, 2019Abstract The existing location-based services have collected a large amount of user trajectory data, and if these data are directly released without any processing, the user's personal privacy will be leaked. At present, differential privacy protection technology is favored by many scholars, but how to apply it reasonably to location-based services ...
Xiaodong Zhao, Yulan Dong, Dechang Pi
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Pseudonym exchange for privacy-preserving publishing of trajectory data set
2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), 2014Anonymization is a common technique for publishing a location data set in a privacy-preserving way. However, such an anonymized data set lacks trajectory information of users, which could be beneficial to many location-based analytic services. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users
Ken Mano +2 more
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Optimal Space Trajectories—A Review of Published Work
The Aeronautical Journal, 1968The problem of transferring a space vehicle between two points in a given gravitational field such that the minimum amount of fuel is used has been called the fundamental navigational problem of astronautics. In such a problem it may be required to find the optimum thrust magnitude and thrust direction which yields a minimum fuel trajectory ...
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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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An Efficient Model and Algorithm for Privacy-Preserving Trajectory Data Publishing
2019Since Abul et al. first proposed the k-anonymity based privacy protection for trajectory data, the researchers have proposed a variety of trajectory privacy-preserving methods, these methods mainly adopt the static anonymity algorithm, which directly anonymize processing and data publishing after initialization.
Songyuan Li +2 more
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A Differentially Private Trajectory Publishing Mechanism Based on Stay Points
2019Trajectory data contains abundant of spatiotemporal information, publishing unprotected trajectories may disclose individual privacy. Recently, researchers have proposed differential privacy to protect users’ privacy when publishing trajectory. However, existing works tend to introduce additional noise when add Laplacian noise.
Ying Xia, Yao Lin, Hao Wang
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GLOVE: Towards Privacy-Preserving Publishing of Record-Level-Truthful Mobile Phone Trajectories
ACM/IMS Transactions on Data Science, 2021Marco Gramaglia +2 more
exaly
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
IEEE Transactions on Knowledge and Data Engineering, 2022Wen Hua, Xiaofang Zhou, Matteo Francia
exaly
Similarity-based privacy protection for publishing k-anonymous trajectories
Frontiers of Computer Science, 2021Shuai Wang 0023 +2 more
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SGTP: A Spatiotemporal Generalized Trajectory Publishing Method With Differential Privacy
Journal of Ambient Intelligence and Humanized Computing, 2022Shuyuan Qiu +3 more
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