SE-ORAM: A Storage-Efficient Oblivious RAM for Privacy-Preserving Access to Cloud Storage

2016 ◽  
Author(s):  
Qiumao Ma ◽  
Jinsheng Zhang ◽  
Yang Peng ◽  
Wensheng Zhang ◽  
Daji Qiao
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Oblivious Ram

Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

scholarly journals Implementation of searchable symmetric encryption for privacy-preserving keyword search on cloud storage

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Md Iftekhar Salam ◽  
Wei-Chuen Yau ◽  
Ji-Jian Chin ◽  
Swee-Huay Heng ◽  
Huo-Chong Ling ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Keyword Search ◽  
Privacy Preserving ◽  
Symmetric Encryption ◽  
Searchable Symmetric Encryption

scholarly journals Study of privacy-preserving framework for cloud storage

2011 ◽  
Vol 8 (3) ◽  
pp. 801-819 ◽  
Author(s):  
Huang Ruwei ◽  
Gui Xiaolin ◽  
Yu Si ◽  
Zhuang Wei
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Bloom Filter ◽  
Data Access ◽  
Data Retrieval ◽  
Privacy Preserving ◽  
Index Structure ◽  
Structure Generation ◽  
Access Right

In order to implement privacy-preserving, efficient and secure data storage and access environment of cloud storage, the following problems must be considered: data index structure, generation and management of keys, data retrieval, treatments of change of users? access right and dynamic operations on data, and interactions among participants. To solve those problems, the interactive protocol among participants is introduced, an extirpation-based key derivation algorithm (EKDA) is designed to manage the keys, a double hashed and weighted Bloom Filter (DWBF) is proposed to retrieve the encrypted keywords, which are combined with lazy revocation, multi-tree structure, asymmetric and symmetric encryptions, which form a privacypreserving, efficient and secure framework for cloud storage. The experiment and security analysis show that EKDA can reduce the communication and storage overheads efficiently, DWBF supports ciphertext retrieval and can reduce communication, storage and computation overhead as well, and the proposed framework is privacy preserving while supporting data access efficiently.

scholarly journals Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation

2011 ◽  
pp. 576-587 ◽  
Author(s):  
Michael T. Goodrich ◽  
Michael Mitzenmacher
Keyword(s):  
Privacy Preserving ◽  
Oblivious Ram ◽  
Outsourced Data

Privacy Preserving Query over Encrypted Multidimensional Massive Data in Cloud Storage

2018 ◽  
Vol 23 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Guangli Xiang ◽  
Xiang Lin ◽  
Hao Wang ◽  
Beilei Li
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Massive Data

An efficient and secure privacy preserving multi-cloud storage framework for mobile devices

2019 ◽  
pp. 1-11
Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta
Keyword(s):  
Mobile Devices ◽  
Cloud Storage ◽  
Privacy Preserving ◽  
Multi Cloud
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