Results 221 to 230 of about 10,576,430 (264)
Some of the next articles are maybe not open access.
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, Ruxue Wen
exaly +3 more sources
TGM: A Generative Mechanism for Publishing Trajectories With Differential Privacy
IEEE Internet of Things Journal, 2020We describe a new generative algorithm called trajectory generative mechanism (TGM) for publishing trajectory datasets with $\varepsilon $ -differential privacy guarantee, which achieves substantially higher computational efficiency and utility (practical) than the state-of-the-art algorithms.
Soheila Ghane +2 more
exaly +3 more sources
Protecting sensitive place visits in privacy-preserving trajectory publishing
Computers and 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.
Mohan Kankanhalli
exaly +2 more sources
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.
Yan Xiong, Qiwei Lu, Wenchao Huang
exaly +2 more sources
Achieving differential privacy of trajectory data publishing in participatory sensing
Information Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng Li, Zijian Zhang, Liehuang Zhu
exaly +4 more sources
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
openaire +3 more sources
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
openaire +2 more sources
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.
Khalil Al-Hussaeni +2 more
openaire +3 more sources
Privacy Risks in Publishing Mobile Device Trajectories
IEEE Wireless Communications Letters, 2014Growing availability of mobile devices capable of sensing and transmitting geospatial information has led to a wide range of location based services (LBSs). Sharing location data with others is an intrinsic feature of LBSs. However, publishing location may raise serious privacy concerns due to its close connection with users' sensitive information ...
Alireza Haghnegahdar +2 more
openaire +1 more source
Trajectory anonymity in publishing personal mobility data
ACM SIGKDD Explorations Newsletter, 2011Recent 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
openaire +2 more sources