An Efficient Model and Algorithm for Privacy-Preserving Trajectory Data Publishing
2019Since Abul et al. first proposed the k-anonymity based privacy protection for trajectory data, the researchers have proposed a variety of trajectory privacy-preserving methods, these methods mainly adopt the static anonymity algorithm, which directly anonymize processing and data publishing after initialization.
Songyuan Li +2 more
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A generalization-based approach for personalized privacy preservation in trajectory data publishing
6th International Symposium on Telecommunications (IST), 2012Trajectory data are becoming more popular due to the rapid development of mobile devices and the widespread use of location-based services. They often provide useful information that can be used for data mining tasks. However, a trajectory database may contain sensitive attributes that are associated with trajectory data. Therefore, improper publishing
Elahe Ghasemi Komishani, Mahdi Abadi
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Impact of prior knowledge on privacy leakage in trajectory data publishing
Engineering Science and Technology, an International Journal, 2020 Abstract The rapid growth in the usage of location-based services has resulted in extensive research on users’ trajectory data publishing. But, a key concern here is a potential breach of user privacy through various linkage attacks by an efficient adversary.
D. Hemkumar +2 more
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Publishing Sensitive Trajectory Data Under Enhanced l-Diversity Model
2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019With the proliferation of location-aware devices, trajectory data have been widely collected, published, and analyzed in real-life applications. However, published trajectory data often contain sensitive attributes, so an attacker who can identify an individual from such data through record linkage, attribute linkage, or similarity attacks can gain ...
Lin Yao 0001 +4 more
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Segment Clustering Based Privacy Preserving Algorithm for Trajectory Data Publishing
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 +3 more
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Privacy Preservation for Trajectory Data Publishing by Look-Up Table Generalization
2018With the increasing of location-aware devices, it is easy to collect the trajectory of a person which can be represented as a sequence of visited locations with regard to timestamps. For some applications such as traffic management and location-based advertising, the trajectory data may need to be published with other private information.
Nattapon Harnsamut +2 more
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Trajectory Data Publishing Method with Local Differential Privacy
2023 IEEE International Conference on Unmanned Systems (ICUS), 2023Haidong Wu, Xingfa Shen, Chuntong Geng
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Privacy-aware trajectory data publishing: an optimal efficient generalisation algorithm
International Journal of Grid and Utility Computing, 2023Nattapon Harnsamut, Juggapong Natwichai
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GLOVE: Towards Privacy-Preserving Publishing of Record-Level-Truthful Mobile Phone Trajectories
ACM/IMS Transactions on Data Science, 2021Marco Gramaglia +2 more
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A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
IEEE Transactions on Knowledge and Data Engineering, 2022Wen Hua, Xiaofang Zhou, Matteo Francia
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