A Consistent Differential Privacy Dynamic Trajectory Flow Prediction Method
Engineering ReportsEnsuring privacy while maintaining accuracy in trajectory prediction is a crucial challenge in privacy‐sensitive applications such as smart transportation and mobility analytics.
Hongzhi Pan
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Interchange-Based Privacy Protection for Publishing Trajectories [PDF]
IEEE Access, 2019 Information extracted from trajectory data is very useful in many practical application scenarios. Before trajectories for data mining are published, they need to be processed to protect the privacy of the trajectories' bodies.
Shuai Wang +3 more
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Trajectory differential privacy protection mechanism based on prediction and sliding window [PDF]
Tongxin xuebao, 2020 To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation ...
Ayong YE +4 more
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A location semantic privacy protection model based on spatial influence [PDF]
Scientific ReportsThe utilization of numerous location-based intelligent services yields massive traffic trajectory data. Mining such data unveils internal and external user features, offering significant application value across various domains.
Linghong Kuang +4 more
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A Semantic Behavioral Sequence-Based Approach to Trajectory Privacy Protection
SymmetryTrajectory data contain numerous sensitive attributes. Unauthorized disclosure of precise user trajectory information generates persistent privacy and security concerns that significantly impact daily life. Most existing trajectory privacy protection schemes focus on geographic trajectories while neglecting the critical importance of semantic ...
Ji Xi +4 more
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Differentially private count queries over personalized-location trajectory databases
Data in Brief, 2018 Differential privacy is a technique for releasing statistical information about a database without revealing information about its individual data records.
Fatemeh Deldar, Mahdi Abadi
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Differential privacy protection technology and its application in big data environment [PDF]
Tongxin xuebao, 2019 The privacy protection in big data is a research hotspot in the field of cyberspace security.As a strict and provable definition of privacy protection,studying application status of differential privacy protection in big data environment can provide ...
Yu FU, Yihan YU, Xiaoping WU
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CLM:differential privacy protection method for trajectory publishing
Tongxin xuebao, 2017 In order to solve the problem existing in differential privacy preserving publishing methods that the independent noise was easy to be filtered out,a differential privacy publishing method for trajectory data (CLM),was proposed.A correlated Laplace ...
Hao WANG +3 more
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KSDP scheme for trajectory data publishing
Shenzhen Daxue xuebao. Ligong ban, 2023 For clustering applications in the field of trajectory privacy protection, the k-means algorithm is sensitive to initial values and the number of clusters may be somewhat arbitrary.
ZHANG Jun +4 more
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Trajectory-Differential Privacy-Protection Method with Interest Region
Jisuanji kexue yu tansuo, 2020 Trajectory data privacy protection method is a hot topic in data privacy protection research field. Most of existing trajectory data privacy protection methods adopt the strategy of adding noise to all locations, which reduces the availability of data ...
LAN Wei, LIN Ying, BAO Lingyan, LI Tong, CHEN Mengrong, SHAN Jinzhao
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