Results 261 to 270 of about 87,604 (282)

An Efficient Model and Algorithm for Privacy-Preserving Trajectory Data Publishing

2019
Since 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, Hong Shen 0001, Yingpeng Sang   +2 more
openaire   +1 more source

Privacy-Preserving Publishing of Pseudonym-Based Trajectory Location Data Set

2013 International Conference on Availability, Reliability and Security, 2013
Anonymization is a common technique for publishing a location data set in a privacy-preserving way. However, such an anonymized data set lacks trajectory information of users, which could be beneficial to many location-based analytic services. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users
Ken Mano, Kazuhiro Minami, Hiroshi Maruyama   +2 more
openaire   +1 more source

A generalization-based approach for personalized privacy preservation in trajectory data publishing

6th International Symposium on Telecommunications (IST), 2012
Trajectory 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
openaire   +1 more source

Privacy Preservation for Trajectory Data Publishing by Look-Up Table Generalization

2018
With 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, Juggapong Natwichai, Surapon Riyana   +2 more
openaire   +1 more source

Differentially private trajectory event streams publishing under data dependence constraints

Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan Shen 0005, Wei Song 0006, Yang Cao 0011, Zechen Liu, Zhe Wei, Zhiyong Peng 0001   +5 more
openaire   +2 more sources

Trajectory Data Publishing Method with Local Differential Privacy

2023 IEEE International Conference on Unmanned Systems (ICUS), 2023
Haidong Wu, Xingfa Shen, Chuntong Geng
openaire   +1 more source

A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing

IEEE Transactions on Knowledge and Data Engineering, 2022
Fengmei Jin, Wen Hua, Matteo Francia
exaly  

Privacy-aware trajectory data publishing: an optimal efficient generalisation algorithm

International Journal of Grid and Utility Computing, 2023
Nattapon Harnsamut, Juggapong Natwichai
openaire   +1 more source

GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label

2022 8th International Conference on Big Data Computing and Communications (BigCom), 2022
Lin Yao 0001, Yu Zhang, Zhaolong Zheng, Guowei Wu 0001   +3 more
openaire   +1 more source

Protecting sensitive place visits in privacy-preserving trajectory publishing

Computers and Security, 2020
Mohan Kankanhalli
exaly