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

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

Secure Real-time Data Access Using Two-Factor Authentication Scheme for the Internet of Drones

2021 ◽  
Author(s):  
Haqi Khalid ◽  
Shaiful Jahari Hashim ◽  
Sharifah Mumtazah Syed Ahamed ◽  
Fazirulhisyam Hashim ◽  
Muhammad Akmal Chaudhary
Keyword(s):  
Real Time ◽  
Data Access ◽  
Authentication Scheme ◽  
The Internet ◽  
Time Data ◽  
Real Time Data

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 Remote Data Auditing in Multi-tenancy Cloud Storage by Using File Attribute Test Technique

2020 ◽  
Vol 981 ◽  
pp. 022048
Author(s):  
Ranjith Kumar Marrikukkala ◽  
Dr. P. Praveen ◽  
Bonthala Prabhanjan Yadav ◽  
G Jhansi ◽  
P. Venkata Ramana Rao
Keyword(s):  
Cloud Storage ◽  
Test Technique ◽  
Data Auditing ◽  
Remote Data

scholarly journals Hierarchical remote data possession checking method based on massive cloud files

2016 ◽  
Vol 11 (2) ◽  
pp. 126-134
Author(s):  
Ma Haifeng ◽  
Gao Zhenguo ◽  
Yao Nianmin
Keyword(s):  
Cloud Storage ◽  
False Negative ◽  
False Negative Rate ◽  
Data Integrity ◽  
Communication Overhead ◽  
Local Data ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Integrity Protection ◽  
Remote Data

Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.

Sign in / Sign up

Export Citation Format

Share Document