Extensibility of File Set Over Encoded Cloud Data Through Empowered Fine Grained Multi Keyword Search

Author(s):  
S. Balakrishnan ◽  
J. Janet ◽  
S. Spandana
2016 ◽  
Vol 13 (3) ◽  
pp. 312-325 ◽  
Author(s):  
Hongwei Li ◽  
Yi Yang ◽  
Tom H. Luan ◽  
Xiaohui Liang ◽  
Liang Zhou ◽  
...  

2016 ◽  
Vol 11 (2) ◽  
pp. 287-297 ◽  
Author(s):  
Yinbin Miao ◽  
Jianfeng Ma ◽  
Ximeng Liu ◽  
Zhiquan Liu ◽  
Limin Shen ◽  
...  

Author(s):  
Wei Zhang ◽  
Jie Wu ◽  
Yaping Lin

Cloud computing has attracted a lot of interests from both the academics and the industries, since it provides efficient resource management, economical cost, and fast deployment. However, concerns on security and privacy become the main obstacle for the large scale application of cloud computing. Encryption would be an alternative way to relief the concern. However, data encryption makes efficient data utilization a challenging problem. To address this problem, secure and privacy preserving keyword search over large scale cloud data is proposed and widely developed. In this paper, we make a thorough survey on the secure and privacy preserving keyword search over large scale cloud data. We investigate existing research arts category by category, where the category is classified according to the search functionality. In each category, we first elaborate on the key idea of existing research works, then we conclude some open and interesting problems.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101969-101980 ◽  
Author(s):  
Jianfei Sun ◽  
Shengnan Hu ◽  
Xuyun Nie

Sign in / Sign up

Export Citation Format

Share Document