A Social Network Model for Big Data Privacy Preserving and Accountability Assurance

被引：0
|
作者：
Gao, Chunming [1 ]
Iwane, Noriyuki [2 ]
机构：
[1] Michigan Technol Univ, Sch Technol, Houghton, MI 49931 USA
[2] Hiroshima City Univ, Fac Informat Sci, Hiroshima, Japan
来源：
2015 12TH ANNUAL IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE | 2015年
关键词：
social network; big data; privacy; credibility; network model;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social networks have become valuable resources of big data exploration for individual users as well as for researchers and commercial organizations. However, how to protect user privacy while assure data credibility at the same time is still a big challenge both in practice and in academic research. This study presents a social network model for the purpose of big data privacy preserving and credibility assurance. In this paper, we discuss the mechanism of the model and present practical implementation designs on achieving the goals. Applications of the model in healthcare social network are also discussed.
引用
收藏
页码：19 / 22
页数：4
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