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 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 …

A trajectory released scheme for the internet of vehicles based on differential privacy

S Cai, X Lyu, X Li, D Ban, T Zeng - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The locations and users' information can be shared and interacted in the IoV (Internet of
Vehicles), which provides sufficient data for traffic deployment and behavior pattern analysis …

VTDP: Privately sanitizing fine-grained vehicle trajectory data with boosted utility

B Liu, S Xie, H Wang, Y Hong, X Ban… - … on Dependable and …, 2019 - ieeexplore.ieee.org
With the rapidly growing deployment of intelligent transportation systems (ITS) and smart
traffic applications, vehicle trajectory data are ubiquitously generated, eg, from GPS …

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 …

Privacy preserving and data publication for vehicular trajectories with differential privacy

M Arif, J Chen, G Wang, O Geman, VE Balas - Measurement, 2021 - Elsevier
Abstract In the Vehicular Ad-hoc Networks, an enormous number of Location-based
Services could be given to clients as per their development characteristics. Then, protection …

Synthesizing realistic trajectory data with differential privacy

X Sun, Q Ye, H Hu, Y Wang, K Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle trajectory data is critical for traffic management and location-based services.
However, the released trajectories raise serious privacy concerns because they contain …

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 …

TCPP: Achieving privacy-preserving trajectory correlation with differential privacy

L Wu, C Qin, Z Xu, Y Guan, R Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The prevalence of mobile Internet, smart terminal devices, and GPS positioning technology
has generated a vast number of trajectory data that location-based applications can utilize …

Differentially private and utility-aware publication of trajectory data

Q Liu, J Yu, J Han, X Yao - Expert Systems with Applications, 2021 - Elsevier
Trajectory data is valuable for various applications, especially for intelligent transportation
systems, which hunger for plenty of trajectories. However, publishing trajectory data while …