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Novel trajectory data publishing method under differential privacy

Expert Systems with Applications, 2019
Abstract 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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OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing

Neurocomputing, 2022
Abstract 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, Ruxue Wen, Haojun Huang, Wang Miao, Chen Wang   +4 more
openaire   +3 more sources

Personalized Privacy‐Preserving Trajectory Data Publishing

Chinese Journal of Electronics, 2017
Due 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, Caimei Wang, Yan Xiong, Huihua Xia, Wenchao Huang, Xudong Gong   +5 more
openaire   +3 more sources

Trajectory anonymity in publishing personal mobility data

ACM SIGKDD Explorations Newsletter, 2011
Recent years have witnessed pervasive use of location-aware devices such as GSM mobile phones, GPS-enabled PDAs, location sensors, and active RFID tags. The use of these devices generates a huge collection of spatio-temporal data, variously called moving object data, trajectory data, or moblity data.
Francesco Bonchi, Laks V. S. Lakshmanan, Hui Wang   +2 more
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Differentially private trajectory event streams publishing under data dependence constraints

Information Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan Shen, Wei Song, Yang Cao, Zechen Liu, Zhe Wei, Zhiyong Peng   +5 more
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BiGRU-DP: Improved differential privacy protection method for trajectory data publishing

Expert Systems with Applications
Zihao Shen, Yuyang Zhang, Hui Wang, Peiqian Liu, Kun Liu, Yanmei Shen   +5 more
exaly   +4 more sources

Achieving differential privacy of trajectory data publishing in participatory sensing

Information Sciences, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Meng, Zhu, Liehuang, Zhang, Zijian, Xu, Rixin   +3 more
openaire   +4 more sources

Suppression techniques for privacy-preserving trajectory data publishing

Knowledge-Based Systems, 2020
Abstract In this paper, we study the problem of protecting privacy in trajectory datasets from adversaries who can exploit their partial knowledge to infer unknown locations. To efficiently solve this problem, we propose a tree-based indexing structure to store all trajectory data and develop pruning strategies.
Chen-Yi Lin
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Real-Time Trajectory Data Publishing Method with Differential Privacy

2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), 2018
With the increasing popularity of location technologies and location-based service applications, a large number of user's trajectory data have been collected. Publishing the real-time statistics data of trajectory streams can be useful in many fields such as intelligent transportation system, urban road planning and road congestion detection.
Fengyun Li, Jinhua Yang, Lifang Xue, Dawei Sun   +3 more
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