标题:Differential Private Preservation Multi-core DBScan Clustering for Network User Data
作者:Ni, Lina ;Li, Chao ;Liu, Haoran ;Bourgeois, Anu G. ;Yu, Jiguo
通讯作者:Yu, Jiguo
作者机构:[Ni, Lina ;Li, Chao ;Liu, Haoran ] College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China;[Yu, Jig 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:257-262
DOI:10.1016/j.procs.2018.03.073
摘要:Mining rich network user data to extract valuable information becomes the focus and commercial interest of researchers. Differential privacy protection is a new paradigm based on data distortion, which protects sensitive data while maintains a certain statistical properties by adding random noise, and makes up for the shortcomings that traditional schemas require knowledge background assumptions and cannot analyze quantitatively. In this paper, we propose a DP-MCDBScan schema based on the powerful differential privacy. We perform simulation to evaluate our schema, whose results show that our schema has better efficiency, accuracy, and privacy protection effect than previous schemas.
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收录类别:EI
资源类型:会议论文
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