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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 +2 more
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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 ...
Haojun Huang, Wang Miao
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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.
Caimei Wang, Yan Xiong, Wenchao Huang
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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.
Meng Li, Liehuang Zhu, Zijian Zhang
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Segment Clustering Based Privacy Preserving Algorithm for Trajectory Data Publishing
Communications in Computer and Information Science, 2018In recent years, privacy preserving data publishing has become a hot research point in the area of privacy preserving. The (k, δ)-anonymity model exploited the inherent uncertainty of the trajectory acquisition system, but could not consider the case that the uncertain threshold of trajectory was variable in practical applications. Therefore, the (k, δ)
Fengyun Li
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Knowledge-Based Systems, 2016
Abstract Trajectory data often provide useful information that can be used in real-life applications, such as traffic management, Geo-marketing, and location-based advertising. However, a trajectory database may contain detailed information about moving objects and associate them with sensitive attributes, such as disease, job, and income. Therefore,
, Fatemeh Deldar
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Abstract Trajectory data often provide useful information that can be used in real-life applications, such as traffic management, Geo-marketing, and location-based advertising. However, a trajectory database may contain detailed information about moving objects and associate them with sensitive attributes, such as disease, job, and income. Therefore,
, Fatemeh Deldar
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Differential-Privacy Preserving Trajectory Data Publishing for Road Networks
, 2023 In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive reasoning and analysis based on the published trajectory data with certain background knowledge to obtain the ...
Songyuan Li +3 more
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Privacy Preserving Trajectory Data Publishing with Personalized Differential Privacy
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2020With the development of location-based applications, more and more trajectory data are collected and applied. Trajectory data often contains user's sensitive information, and direct release may pose a threat to users' privacy. Differential privacy, as a privacy preserving method with solid mathematical foundation, has been widely used in trajectory ...
Ruxue Wen +4 more
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UdpTrace: Utility-enhanced differential privacy scheme for trajectory data publishing
NeurocomputingGang Liang, Zhiwei Liang
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