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OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing
Neurocomputing, 2022Abstract With the development of location-based applications, more and more trajectory data are collected. Trajectory data often contains users’ sensitive information, and direct release it may pose a threat to users’ privacy. Differential privacy, as a privacy preserving method with solid mathematical foundation, has been widely used in trajectory ...
Wenqing Cheng +4 more
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Protecting sensitive place visits in privacy-preserving trajectory publishing
Computers & Security, 2020Abstract The rise of mobile computing has generated huge amount of trajectory data. Since these data are valuable for many people, publishing them while providing adequate individual privacy protection has been a challenging task. In this paper, we present an algorithm for protecting sensitive place visits in privacy-preserving trajectory publishing.
Nana Wang, Mohan S Kankanhalli
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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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Achieving differential privacy of trajectory data publishing in participatory sensing
Information Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Meng +3 more
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Privacy-preserving trajectory stream publishing
Data & Knowledge Engineering, 2014Recent advancement in mobile computing and sensory technology has facilitated the possibility of continuously updating, monitoring, and detecting the latest location and status of moving individuals. Spatio-temporal data generated and collected on the fly are described as trajectory streams.
Al-Hussaeni, Khalil +2 more
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Publishing trajectories with differential privacy guarantees
Proceedings of the 25th International Conference on Scientific and Statistical Database Management, 2013The pervasiveness of location-acquisition technologies has made it possible to collect the movement data of individuals or vehicles. However, it has to be carefully managed to ensure that there is no privacy breach. In this paper, we investigate the problem of publishing trajectory data under the differential privacy model.
Kaifeng Jiang +4 more
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Personalized Privacy‐Preserving Trajectory Data Publishing
Chinese Journal of Electronics, 2017Due to the popularity of mobile internet and location-aware devices, there is an explosion of location and trajectory data of moving objects. A few proposals have been proposed for privacy preserving trajectory data publishing, and most of them assume the attacks with the same adversarial background knowledge.
Qiwei Lu +5 more
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