Implementation for New Approach for Privacy-Preserving Over Encrypted Cloud Data

Author(s):  
Roshni Nigwal ◽  
Ranjeet Osari ◽  
Pratyush Sharma
Author(s):  
Taeho Jung ◽  
Xiang-Yang Li ◽  
Zhiguo Wan ◽  
Meng Wan

2018 ◽  
Vol 8 (5) ◽  
pp. 783 ◽  
Author(s):  
A Hasan ◽  
Qingshan Jiang ◽  
Hui Chen ◽  
Shengrui Wang

2015 ◽  
pp. 426-458 ◽  
Author(s):  
S. R. Murugaiyan ◽  
D. Chandramohan ◽  
T. Vengattaraman ◽  
P. Dhavachelvan

The present focuses on the Cloud storage services are having a critical issue in handling the user's private information and its confidentiality. The User data privacy preserving is a vital facet of online storage in cloud computing. The information in cloud data storage is underneath, staid molests of baffling addict endeavor, and it may leads to user clandestine in a roar privacy breach. Moreover, privacy preservation is an indeed research pasture in contemporary information technology development. Preserving User Data in Cloud Service (PUDCS) happens due to the data privacy breach results to a rhythmic way of intruding high confidential digital storage area and barter those information into business by embezzle others information. This paper focuses on preventing (hush-hush) digital data using the proposed privacy preserving framework. It also describes the prevention of stored data and de-identifying unauthorized user attempts, log monitoring and maintaining it in the cloud for promoting allusion to providers and users.


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.


2012 ◽  
Vol 24 (3) ◽  
pp. 561-574 ◽  
Author(s):  
Tiancheng Li ◽  
Ninghui Li ◽  
Jian Zhang ◽  
Ian Molloy

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