SoK: Differentially private publication of trajectory data
À Miranda-Pascual, P Guerra-Balboa… - Proceedings on …, 2023 - petsymposium.org
Trajectory analysis holds many promises, from improvements in traffic management to
routing advice or infrastructure development. However, learning users' paths is extremely …
routing advice or infrastructure development. However, learning users' paths is extremely …
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 …
systems, which hunger for plenty of trajectories. However, publishing trajectory data while …
Differentially private publication of streaming trajectory data
User-generated trajectories (eg during traveling) can be leveraged to offer value-added
services (eg smart city policy formulation), but there are also privacy implications. For …
services (eg smart city policy formulation), but there are also privacy implications. For …
Differentially private real-time data publishing over infinite trajectory streams
Y Cao, M Yoshikawa - IEICE TRANSACTIONS on Information and …, 2016 - search.ieice.org
Recent emerging mobile and wearable technologies make it easy to collect personal
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …
Differentially private real-time data publishing over infinite trajectory streams
CAO Yang, Y Masatoshi - IEICE Transactions on Information and …, 2016 - cir.nii.ac.jp
抄録 Recent emerging mobile and wearable technologies make it easy to collect personal
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …
Differentially private publication of general time-serial trajectory data
J Hua, Y Gao, S Zhong - 2015 IEEE Conference on Computer …, 2015 - ieeexplore.ieee.org
Trajectory data, ie, human mobility traces, is extremely valuable for a wide range of mobile
applications. However, publishing raw trajectories without special sanitization poses serious …
applications. However, publishing raw trajectories without special sanitization poses serious …
OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing
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 …
collected. Trajectory data often contains users' sensitive information, and direct release it …
Differentially private and utility preserving publication of trajectory data
The universal popularity of GPS-enabled mobile devices and traffic navigation services has
fueled the growth of trajectory data, as evidenced by Uber Movement and NYC taxi data …
fueled the growth of trajectory data, as evidenced by Uber Movement and NYC taxi data …
Reconstruction attack on differential private trajectory protection mechanisms
Location trajectories collected by smartphones and other devices represent a valuable data
source for applications such as location-based services. Likewise, trajectories have the …
source for applications such as location-based services. Likewise, trajectories have the …
Differentially private trajectory event streams publishing under data dependence constraints
Y Shen, W Song, Y Cao, Z Liu, Z Wei, Z Peng - Information Sciences, 2024 - Elsevier
Differential Privacy (DP), as a de facto privacy-preserving paradigm, can be widely applied
in numerous event streams publishing schemes to protect private events (ie, trajectory points …
in numerous event streams publishing schemes to protect private events (ie, trajectory points …