Research on Privacy Protection Framework Design and Key Technologies in Large Data Environment

被引:1
|
作者
Liu Hongling [1 ]
机构
[1] Guangzhou Nanyang Polytech, Guangzhou 510900, Peoples R China
来源
2019 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2019) | 2019年
关键词
privacy protection; big data security; framework design; key technologies;
D O I
10.1109/ICRIS.2019.00089
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As a new information technology, big data develops rapidly and has a wide range of information, which has a far-reaching impact on people. The use of big data extends the scope of privacy to people's economic life, cultural life, social life and other aspects. The privacy security problems caused by this process cause widespread anxiety and anxiety in society. However, only from the technical level to study the problem lacks a certain depth and breadth, and it is also difficult to accurately grasp the root causes of privacy security problems. Based on the data privacy protection framework in large data environment, this thesis focuses on the privacy protection cost sharing technology in the collection stage, the interrelated privacy protection technology and privacy risk control in the application stage, and constructs the data privacy protection framework in large data environment, so as to design the path of privacy data protection, and then explore it.
引用
收藏
页码:327 / 330
页数:4
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