标题:A Privacy Preserving Algorithm Based on R-constrained Dummy Trajectory in Mobile Social Network
作者:Ni, Lina ;Yuan, Yanfeng ;Wang, Xiao ;Yu, Jiguo ;Zhang, Jinquan
通讯作者:Zhang, Jinquan
作者机构:[Ni, Lina ;Yuan, Yanfeng ;Wang, Xiao ;Zhang, Jinquan ] College of Computer Science and Engineering, Shandong University of Science and Technology, Qin 更多
会议名称:International Conference on Identification,Information and Knowledgein The Internet of Things, 2017
会议日期:October 19, 2017 - October 21, 2017
来源:Procedia Computer Science
出版年:2018
卷:129
页码:420-425
DOI:10.1016/j.procs.2018.03.018
摘要:Recently the research of location privacy preserving has become a hot spot. Location privacy preserving involves not only a single location privacy but also the trajectory privacy where the mobile users in different locations publish the consecutive query requests. In this paper, we consider the problem of trajectory privacy preserving in MSN. Particularly, we propose privacy preserving algorithms based on R-constraint dummy trajectory (RcDT). By constraining the generating range R of the dummy positions, the generated dummy positions are within a certain range near the real locations. Furthermore, the dummy trajectories which have higher similarity to the real trajectories are generated via constraining both the single location exposure risk and the trajectory exposure risk.
© 2018 Elsevier Ltd. All rights reserved.
收录类别:EI
资源类型:会议论文
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