Achieving fully privacy-preserving private range queries over outsourced cloud data

2017 ◽  
Vol 39 ◽  
pp. 36-51 ◽  
Author(s):  
Yao Shen ◽  
Wei Yang ◽  
Lu Li ◽  
Liusheng Huang
Keyword(s):  
Privacy Preserving ◽  
Range Queries ◽  
Cloud Data

scholarly journals Privacy preserving cloud data access with multi-authorities

2013 ◽  
Author(s):  
Taeho Jung ◽  
Xiang-Yang Li ◽  
Zhiguo Wan ◽  
Meng Wan
Keyword(s):  
Data Access ◽  
Privacy Preserving ◽  
Cloud Data

Privacy-Preserving DNS: Analysis of Broadcast, Range Queries and Mix-Based Protection Methods

2011 ◽  
pp. 665-683 ◽  
Author(s):  
Hannes Federrath ◽  
Karl-Peter Fuchs ◽  
Dominik Herrmann ◽  
Christopher Piosecny
Keyword(s):  
Privacy Preserving ◽  
Range Queries

A Generic Privacy Breach Preventing Methodology for Cloud Based Web Service

2015 ◽  
pp. 426-458 ◽  
Author(s):  
S. R. Murugaiyan ◽  
D. Chandramohan ◽  
T. Vengattaraman ◽  
P. Dhavachelvan
Keyword(s):  
Private Information ◽  
Data Privacy ◽  
Privacy Preserving ◽  
Digital Data ◽  
Cloud Data ◽  
Privacy Breach ◽  
Cloud Data Storage ◽  
User Data ◽  
Information Technology Development ◽  
User Data Privacy

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.

Secure and Privacy Preserving Keyword Search over the Large Scale Cloud Data

2016 ◽  
pp. 200-215
Author(s):  
Wei Zhang ◽  
Jie Wu ◽  
Yaping Lin
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Keyword Search ◽  
Data Encryption ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Data Utilization ◽  
Cloud Data ◽  
Efficient Resource ◽  
Efficient Data

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.

A Multi-Party Protocol for Privacy-Preserving Range Queries

2014 ◽  
pp. 108-120 ◽  
Author(s):  
Maryam Sepehri ◽  
Stelvio Cimato ◽  
Ernesto Damiani
Keyword(s):  
Privacy Preserving ◽  
Range Queries

scholarly journals Privacy-Preserving and Regular Language Search Over Encrypted Cloud Data

2016 ◽  
Vol 11 (10) ◽  
pp. 2365-2376 ◽  
Author(s):  
Kaitai Liang ◽  
Xinyi Huang ◽  
Fuchun Guo ◽  
Joseph K. Liu
Keyword(s):  
Regular Language ◽  
Privacy Preserving ◽  
Cloud Data
Sign in / Sign up

Export Citation Format

Share Document