Hierarchical interpolation point anonymity for trajectory privacy protection-Reference-Cited by-同舟云学术

Hierarchical interpolation point anonymity for trajectory privacy protection

Published:2019-11-08 Issue:6 Volume:23 Page:1397-1419
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Wang Xiaohan¹²³,Zhang Zepei²³,Luo Yonglong¹²³,Yu Qingying¹²³

Affiliation:

1. College of Geography and Tourism, Anhui Normal University, Wuhu, Anhui 241003, China

2. College of Computer and Information, Anhui Normal University, Wuhu, Anhui 241003, China

3. Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu, Anhui 241003, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference40 articles.

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3. QLDS: a novel design scheme for trajectory privacy protection with utility guarantee in participatory sensing;Xiao;IEEE Transactions on Mobile Computing,2018

4. An effective privacy architecture to preserve user trajectories in reward-based LBS applications;Hasan;ISPRS International Journal of Geo-Information,2018

5. Novel privacy-preserving algorithm based on frequent path for trajectory data publishing;Dong;Knowledge-Based Systems,2018

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