南京航空航天大学k8凯发集团主页平台管理系统 皮德常-k8凯发集团

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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：knowledge-based systems
关键字：information publication location-based services trajectory privacy frequent path
摘要：existing location-based services have collected a large amount of location data, which contain users' personal information and has serious personal privacy leakage threats. therefore, the preservation of individual privacy when publishing data is receiving increasing attention. most existing methods of preserving user privacy suffer a serious loss in data usability, resulting in low usability of data. in this paper, we address this problem and present topf, a novel approach for preserving privacy in trajectory data publishing based on frequent path. topf aims to achieve better quality of trajectory data for publishing and strike a balance between the conflicting goals of data usability and data privacy. to the best of our knowledge, this is the first paper that uses frequent path to preserve data privacy. first, infrequent roads in each trajectory are removed, and a new way is adopted to divide trajectories into candidate groups. a new method for finding the most frequent path is then proposed, and then, the representative trajectory is selected to represent all trajectories within a group. experimental results show that our algorithm not only effectively guarantees the privacy of the user but also ensures the high usability of the data. (c) 2018 elsevier b.v. all rights reserved.
issn号：0950-7051
是否译文：否
发表时间：2018-05-15
合写作者：董玉兰
通讯作者：皮德常