Privacy preservation in big data from the communication perspective—A survey

T Wang, Z Zheng, MH Rehmani… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The advancement of data communication technologies promotes widespread data collection
and transmission in various application domains, thereby expanding big data significantly …

Vector-indistinguishability: location dependency based privacy protection for successive location data

Y Zhao, J Chen - IEEE Transactions on Computers, 2023 - ieeexplore.ieee.org
With the wide use of GPS enabled devices and Location-Based Services, location privacy
has become an increasingly worrying challenge to our community. Existing approaches …

Privacy in trajectory micro-data publishing: a survey

M Fiore, P Katsikouli, E Zavou, M Cunche… - Transactions on Data …, 2020 - orbit.dtu.dk
We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …

Achieving differential privacy of trajectory data publishing in participatory sensing

M Li, L Zhu, Z Zhang, R Xu - Information Sciences, 2017 - Elsevier
Trajectory data in participatory sensing is of great importance to the deployment and
advancement of several applications, like traffic monitoring, marketing analysis, and urban …

Quantifying differential privacy in continuous data release under temporal correlations

Y Cao, M Yoshikawa, Y **ao… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Differential Privacy (DP) has received increasing attention as a rigorous privacy framework.
Many existing studies employ traditional DP mechanisms (eg, the Laplace mechanism) as …

Quantifying differential privacy under temporal correlations

Y Cao, M Yoshikawa, Y **ao… - 2017 IEEE 33rd …, 2017 - ieeexplore.ieee.org
Differential Privacy (DP) has received increasing attention as a rigorous privacy framework.
Many existing studies employ traditional DP mechanisms (eg, the Laplace mechanism) as …

Releasing correlated trajectories: Towards high utility and optimal differential privacy

L Ou, Z Qin, S Liao, Y Hong, X Jia - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A mutual correlation between trajectories of two users is very helpful to real-life applications
such as product recommendation and social media. While providing tremendous benefits …

Local suppression and splitting techniques for privacy preserving publication of trajectories

M Terrovitis, G Poulis, N Mamoulis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We study the problem of preserving user privacy in the publication of location sequences.
Consider a database of trajectories, corresponding to movements of people, captured by …

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 …

[HTML][HTML] Time will not tell: Temporal approaches for privacy-preserving trajectory publishing

A Brauer, V Mäkinen, L Ruotsalainen… - … , Environment and Urban …, 2024 - Elsevier
Fine-granular spatio-temporal trajectories, ie, time-stamped sequences of locations, play a
pivotal role in transport and urban analytics. However, sharing or publishing trajectory data …