标题:Maximum delay anonymous clustering feature tree based privacy-preserving data publishing in social networks
作者:Zhang, Jinquan ;Zhao, Bowen ;Song, Guochao ;Ni, Lina ;Yu, Jiguo
通讯作者:Ni, Lina
作者机构:[Zhang, Jinquan ;Zhao, Bowen ;Song, Guochao ;Ni, Lina ] College of Computer Science and Engineering, Shandong University of Science and Technology, Qi 更多
会议名称:7th International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2018
会议日期:October 19, 2018 - October 21, 2018
来源:Procedia Computer Science
出版年:2019
卷:147
页码:643-646
DOI:10.1016/j.procs.2019.01.190
摘要:Clustering analysis has been widely used in pattern recognition and image processing in recent years, which is an important research field of data mining. Data publishing in social networks is threatened by the leakage of private information nowadays. This paper proposes a privacy preservation scheme of sensitive data publishing in social networks based on Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm to tackle this issue. The scheme is divided into an online process and an offline process. Specifically, we present the Maximum Delay Anonymous Clustering Feature (MDACF) tree data publishing algorithm.
© 2019 The Author(s).
收录类别:EI
资源类型:会议论文
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