Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing

2016 ◽  
Vol 65 (5) ◽  
pp. 1566-1577 ◽  
Author(s):  
Wei Zhang ◽  
Yaping Lin ◽  
Sheng Xiao ◽  
Jie Wu ◽  
Siwang Zhou
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.


Author(s):  
Xiangyu Wang ◽  
Jianfeng Ma ◽  
Yinbin Miao ◽  
Ximeng Liu ◽  
Ruikang Yang

2019 ◽  
Vol 24 (8) ◽  
pp. 5609-5631
Author(s):  
Ahmed M. Manasrah ◽  
Mahmoud Abu Nasir ◽  
Maher Salem

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