Author
Listed:
- Xingxing Xiong
- Shubo Liu
- Dan Li
- Jun Wang
- Xiaoguang Niu
Abstract
With the growing popularity of fifth-generation-enabled Internet of Things devices with localization capabilities, as well as on-building fifth-generation mobile network, location privacy has been giving rise to more frequent and extensive privacy concerns. To continuously enjoy services of location-based applications, one needs to share his or her location information to the corresponding service providers. However, these continuously shared location information will give rise to significant privacy issues due to the temporal correlation between locations. In order to solve this, we consider applying practical local differential privacy to private continuous location sharing. First, we introduce a novel definition of ( ε , δ ) -local differential privacy to capture the temporal correlations between locations. Second, we present a generalized randomized response mechanism to achieve ( ε , δ ) -local differential privacy for location privacy preservation, which obtains the upper bound of error, and serve it as the basic building block to design a unified private continuous location sharing framework with an untrusted server. Finally, we conduct experiments on the real-world Geolife dataset to evaluate our framework. The results show that generalized randomized response significantly outperforms planar isotropic mechanism in the context of utility.
Suggested Citation
Xingxing Xiong & Shubo Liu & Dan Li & Jun Wang & Xiaoguang Niu, 2019.
"Locally differentially private continuous location sharing with randomized response,"
International Journal of Distributed Sensor Networks, , vol. 15(8), pages 15501477198, August.
Handle:
RePEc:sae:intdis:v:15:y:2019:i:8:p:1550147719870379
DOI: 10.1177/1550147719870379
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:15:y:2019:i:8:p:1550147719870379. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.