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Privacy Preservation for Trajectory Publication Based on Differential Privacy

ACM Transactions on Intelligent Systems and Technology, 2022
With the proliferation of location-aware devices, trajectory data have been used widely in real-life applications. However, trajectory data are often associated with sensitive labels, such as users’ purchase transactions and planned activities. As such, inappropriate sharing or publishing of these data could threaten users’ privacy, especially when an ...
Lin Yao   +4 more
openaire   +1 more source

Personalized semantic trajectory privacy preservation through trajectory reconstruction

World Wide Web, 2017
Trajectory data gathered by mobile positioning techniques and location-aware devices contain plenty of sensitive spatial-temporal and semantic information, and can support many applications through data analysing and mining. However, attribute-linkage and re-identification attacks on such data may cause privacy leakage, and lead to unexpected serious ...
Yan Dai   +4 more
openaire   +1 more source

Privacy preserving vehicular trajectory prediction

2016 International Conference on Computing, Analytics and Security Trends (CAST), 2016
Location based services (LBS) provide many valuable and important services for end users but reveal information about personal location to potentially untrustworthy service providers which could pose privacy concerns. The information about exact path followed by a person is highly personal and can be used to uniquely identify a person. Such information
Purwa Gaikwad   +4 more
openaire   +1 more source

A personalized trajectory privacy protection method

Computers & Security, 2021
Abstract Trajectory data of sports or activities are usually collected and shared into social apps like Wechat moments, Sina weibo in public to provide health services and recommendation, while a large number of friends with weak ties in social circle will cause privacy leakage of users’ locations and life habits. To solve the problem, a personalized
Jiachun Li, Guoqian Chen
openaire   +1 more source

Privacy-preserving trajectory stream publishing

Data & Knowledge Engineering, 2014
Recent 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
openaire   +2 more sources

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