Non-deterministic Paillier Endorsement Asymmetric Key Cryptosystem-Based Whirlpool Hashing Quotient Filter for Secured Data Access on Cloud Storage

2019 ◽  
pp. 127-140
Author(s):  
P. Jayasree ◽  
V. Saravanan
Keyword(s):  
Cloud Storage ◽  
Data Access ◽  
Secured Data

Secure Data Access and Sharing Scheme for Cloud Storage

2016 ◽  
Vol 96 (4) ◽  
pp. 5295-5314 ◽  
Author(s):  
Xiong Li ◽  
Saru Kumari ◽  
Jian Shen ◽  
Fan Wu ◽  
Caisen Chen ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Data Access ◽  
Sharing Scheme ◽  
Secure Data

CoPS - Cooperative Provenance System with ZKP using Ethereum Blockchain Smart Contracts

2018 ◽  
Vol 9 (4) ◽  
pp. 40-53 ◽  
Author(s):  
Navya Gouru ◽  
NagaLakshmi Vadlamani
Keyword(s):  
Cloud Storage ◽  
Distributed Database ◽  
Data Provenance ◽  
Smart Contracts ◽  
Zero Knowledge ◽  
Provenance Management ◽  
Monetary Compensation ◽  
Provenance Data ◽  
Secured Data ◽  
Contemporary Architecture

The redesign of cloud storage with the amalgamation of cooperative cloud and an immutable and unhackable distributed database blockchain thrives towards a strong CIA triad and secured data provenance. The conspiracy ideology associated with the traditional cloud has economized with cooperative cloud storage like Storj and Sia, decentralized storage, which allows renting the unused hard drive space and getting monetary compensation in an exchange with cryptocurrency. In this article, the authors explain how confidentiality, integrity and availability can be progressed with cooperative cloud storage along with tamper-proof data provenance management with ethereum smart contracts using zero-knowledge proof (ZKP). A contemporary architecture is proposed with regards to storing data on the cooperative cloud and collecting and verifying the provenance data from the cloud and publishing the provenance data into blockchain network as transactions.

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.

CryptCloud+: Secure and Expressive Data Access Control for Cloud Storage

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Jianting Ning ◽  
Zhenfu Cao ◽  
Xiaolei Dong ◽  
Kaitai Liang ◽  
Lifei Wei ◽  
...  
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Data Access ◽  
Data Access Control

scholarly journals An Improved Authentication Scheme for Remote Data Access and Sharing Over Cloud Storage in Cyber-Physical-Social-Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 47144-47160 ◽  
Author(s):  
Zahid Ghaffar ◽  
Shafiq Ahmed ◽  
Khalid Mahmood ◽  
Sk Hafizul Islam ◽  
Mohammad Mehedi Hassan ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Social Systems ◽  
Data Access ◽  
Authentication Scheme ◽  
Remote Data
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