Privacy Protection in Online Social Network in the Context of Big Data

被引：0
|
作者：
Wang, Pingshui [1 ]
Wang, Zecheng [1 ]
Chen, Tao [1 ]
机构：
[1] Anhui Univ Finance & Econ, Coll Management Sci & Engn, Bengbu 233040, Peoples R China
来源：
PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, ARTS, ECONOMICS AND SOCIAL SCIENCE | 2016年 / 49卷
关键词：
privacy protection; online social network; big data;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
With the rapid development of Web 2.0 technology, online social network data has shown the classical big data characteristics. The analysis of social network big data is getting deeper and deeper. At the same time, the risk of privacy disclosure in social network is also very obvious. A series of privacy preserving models and algorithms for social network data are proposed. In this paper, we summarized the privacy leakage type of social network, deeply analyzed the existing privacy preserving technology, pointed out its advantages and disadvantages, and prospected the future research directions.
引用
收藏
页码：461 / 465
页数：5
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