Compressive Privacy: From Information/Estimation Theory to Machine Learning

被引:34
|
作者
Kung, S. Y. [1 ]
机构
[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
关键词
D O I
10.1109/MSP.2016.2616720
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Most of our daily activities are now moving online in the big data era, with more than 25 billion devices already connected to the Internet, to possibly over a trillion in a decade. However, big data also bears a connotation of “big brother” when personal information (such as sales transactions) is being ubiquitously collected, stored, and circulated around the Internet, often without the data owner's knowledge. Consequently, a new paradigm known as online privacy or Internet privacy is becoming a major concern regarding the privacy of personal and sensitive data. © 1991-2012 IEEE.
引用
收藏
页码:94 / +
页数:11
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