Quantifying Location Privacy Risks Under Heterogeneous Correlations
Currently, increasingly ubiquitous location-based services are facilitating the activities of people in daily life. However, releasing real locations could lead to serious concerns about privacy. To remedy these issues, a number of location privacy protection mechanisms (LPPMs) have been proposed, e...
Main Authors: | Bing Li, Hong Zhu, Meiyi Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9343824/ |
Similar Items
-
An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services
by: Bo Wang, et al.
Published: (2023-05-01) -
Releasing Differentially Private Trajectories with Optimized Data Utility
by: Bing Li, et al.
Published: (2022-02-01) -
User location privacy protection mechanism for location-based services
by: Yan He, et al.
Published: (2021-05-01) -
Location privacy protection scheme for LBS users based ondifferential privacy
by: Naiwen YU, et al.
Published: (2021-06-01) -
Survey of big-data-analysis-resistant privacy protection
by: Wei TONG,AOYun-long M,Qing-jun CEHN,Bin-ru WANG,Bao-jia ZHANG,Sheng ZHONG
Published: (2016-04-01)