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IFTS: A Location Privacy Protection Method Based on Initial and Final Trajectory Segments
IEEE Access, 2021 Privacy protection problem is one of the most concerning issues related to Location-Based Services (LBS) in our daily life. Privacy protection of LBS often requires anonymizing customer's trajectory data.
Jiuyun Xu +5 more
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A Trajectory Privacy Protection Method Based on Random Sampling Differential Privacy
ISPRS International Journal of Geo-Information, 2021 With the popularity of location-aware devices (e.g., smart phones), a large number of trajectory data were collected. The trajectory dataset can be used in many fields including traffic monitoring, market analysis, city management, etc.
Tinghuai Ma, Fagen Song
doaj +3 more sources
Differential Privacy-Based Location and Trajectory Data Protection for Utility-Preserving Location-Based Services [PDF]
SensorsThe widespread use of location-based services (LBSs) has led to the continuous collection of user location and trajectory data, increasing the risk of privacy leakage and creating a persistent tradeoff between privacy protection and data utility.
Qihao Yu +3 more
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Interchange-Based Privacy Protection for Publishing Trajectories
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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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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Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy
Entropy, 2022 The publication of trajectory data provides critical information for various location-based services, and it is critical to publish trajectory data safely while ensuring its availability.
Jing Zhang +4 more
doaj +1 more source
Sensors, 2023 With the popularity of location services and the widespread use of trajectory data, trajectory privacy protection has become a popular research area. k-anonymity technology is a common method for achieving privacy-preserved trajectory publishing.
Hua Shen, Yu Wang, Mingwu Zhang
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Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation
网络与信息安全学报, 2019 Vehicles sent location information to third parties to obtain location-based services in the Internet of vehicles,which may lead to vehicle trajectory privacy leakage.To address the privacy problem,trajectory privacy protection mechanism of obfuscating ...
Ziwen ZHAO +3 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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A trajectory data publishing algorithm satisfying local suppression
International Journal of Distributed Sensor Networks, 2021 Suppressing the trajectory data to be released can effectively reduce the risk of user privacy leakage. However, the global suppression of the data set to meet the traditional privacy model method reduces the availability of trajectory data.
Xiaohui Li +3 more
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