Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing.
Chenxi Qiu|Anna Cinzia Squicciarini|Zhuozhao Li|Ce Pang|Li Yan
| Anthology ID: | DBLP:conf/cikm/QiuSLP020 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1275-1284 |
| URL: | https://doi.org/10.1145/3340531.3411863 |
| DOI: | https://doi.org/10.1145/3340531.3411863 |
| DBLP: | conf/cikm/QiuSLP020 |
| BibTeX: |
@inproceedings{qiu-2020-timeefficient,
author = {Chenxi Qiu and
Anna Cinzia Squicciarini and
Zhuozhao Li and
Ce Pang and
Li Yan},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1275--1284},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411863},
doi = {https://doi.org/10.1145/3340531.3411863}
}