Open Access
Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
---|---|---|
Article Number | 01066 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202018401066 | |
Published online | 19 August 2020 |
- Xu, Toby, and Ying Cai. “Feeling-based location privacy protection for location-based services.” In Proceedings of the 16th ACM conference on Computer and communications security, pp. 348-357. 2009. [Google Scholar]
- Zhao, Huan, Jiaolong Wan, and Zuo Chen. “A novel dummy-based KNN query anonymization method in mobile services.” International Journal of Smart Home 10, no. 6 (2016): 137-154. [Google Scholar]
- Yi, Xun, Russell Paulet, Elisa Bertino, and Vijay Varadharajan. “Practical k nearest neighbor queries with location privacy.” In 2014 IEEE 30th International Conference on Data Engineering, pp. 640-651. IEEE, 2014. [Google Scholar]
- Duckham, Matt, and Lars Kulik. “A formal model of obfuscation and negotiation for location privacy.” In International conference on pervasive computing, pp. 152-170. Springer, Berlin, Heidelberg, 2005. [Google Scholar]
- Zhao, Huan, Jiaolong Wan, and Zuo Chen. “A novel dummy-based KNN query anonymization method in mobile services.” International Journal of Smart Home 10, no. 6 (2016): 137-154. [Google Scholar]
- Zhao, Huan, and Meng Li. “Centroid-based KNN query in mobile service of LBS.” In NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, pp. 1-6. IEEE, 2018. [Google Scholar]
- Niu, Ben, Zhengyan Zhang, Xiaoqing Li, and Hui Li. “Privacy-area aware dummy generation algorithms for location-based services.” In 2014 IEEE International Conference on Communications (ICC), pp. 957-962. IEEE, 2014. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.