RNN-DP: A new differential privacy scheme base on Recurrent Neural Network for Dynamic trajectory privacy protection

S Chen, A Fu, J Shen, S Yu, H Wang, H Sun - Journal of Network and …, 2020 - Elsevier
Mobile devices furnish users with various services while on the move, but also raise public
concerns about trajectory privacy. Unfortunately, traditional privacy protection methods, such …

A trajectory privacy protection method based on random sampling differential privacy

T Ma, F Song - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
With the popularity of location-aware devices (eg, smart phones), a large number of
trajectory data were collected. The trajectory dataset can be used in many fields including …

Differential privacy trajectory data protection scheme based on R-tree

S Yuan, D Pi, X Zhao, M Xu - Expert Systems with Applications, 2021 - Elsevier
With the popularization of mobile devices with positioning functions, location-based service
(LBS) plays a vital role in people's daily lives. The problem of privacy leakage becomes …

Novel trajectory privacy-preserving method based on clustering using differential privacy

X Zhao, D Pi, J Chen - Expert Systems with Applications, 2020 - Elsevier
With the development of location-aware technology, a large amount of location data of users
is collected by the trajectory database. If these trajectory data are directly used for data …

Real-time trajectory privacy protection based on improved differential privacy method and deep learning model

J Xiong, H Zhu - Journal of Cloud Computing, 2022 - Springer
Accurate and real-time trajectory data publishing plays an important role in providing users
with the latest traffic and road condition information to help in rationally planning travel time …

Research on trajectory data releasing method via differential privacy based on spatial partition

Q Han, Z Xiong, K Zhang - Security and Communication …, 2018 - Wiley Online Library
A number of security and privacy challenges of cyber system are arising due to the rapidly
evolving scale and complexity of modern system and networks. The cyber system is a …

Real-time privacy-preserving data release over vehicle trajectory

Z Ma, T Zhang, X Liu, X Li, K Ren - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Intelligent connected vehicle trajectory data are of great value for data mining applications
such as traffic management and commercial institutions. However, the leakage of sensitive …

A novel personalized differential privacy mechanism for trajectory data publication

F Tian, S Zhang, L Lu, H Liu… - … Conference on Networking …, 2017 - ieeexplore.ieee.org
With the development of smart city, more organizations analyze people's trajectory data, so
as to provide better location-based services. However, publishing the original trajectory data …

Successive trajectory privacy protection with semantics prediction differential privacy

J Zhang, Y Li, Q Ding, L Lin, X Ye - Entropy, 2022 - mdpi.com
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 …

OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing

W Cheng, R Wen, H Huang, W Miao, C Wang - Neurocomputing, 2022 - Elsevier
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 …