scholarly journals Securing Cloud Storage by Remote Data Integrity Check with Secured Key Generation

2021 ◽  
Vol 30 (3) ◽  
pp. 489-499
Author(s):  
Abdul Rehman ◽  
LIU Jian ◽  
Muhammad Qasim Yasin ◽  
LI Keqiu
Keyword(s):  
Cloud Storage ◽  
Data Integrity ◽  
Key Generation ◽  
Integrity Check ◽  
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.

Remote data integrity check for remotely acquired and stored stream data

2017 ◽  
Vol 74 (3) ◽  
pp. 1182-1201 ◽  
Author(s):  
Keon Myung Lee ◽  
Kyung Mi Lee ◽  
Sang Ho Lee
Keyword(s):  
Data Integrity ◽  
Stream Data ◽  
Integrity Check ◽  
Remote Data

A New Delegation Provable Data Possession in Public Cloud Storage

2014 ◽  
Vol 644-650 ◽  
pp. 2239-2244
Author(s):  
Bin Li ◽  
Chen Lei Cao ◽  
Jian Yi Liu ◽  
Jin Xia Wei
Keyword(s):  
Performance Analysis ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Public Cloud ◽  
Provable Data Possession ◽  
Integrity Verification ◽  
And Performance ◽  
Remote Data

Though Cloud storage has developed rapidly in recent years, there still exist some problems obviously. Provable Data Possession (PDP) is proposed to solve the problem of data integrity verification at untrusted cloud stores. This study built a new delegation Provable Data Possession (delegation-PDP), which solves problem when the client has no ability to check its remote data. We study the delegation-PDP and use proxy re-encryption to design it. Then we use the improved Elgamal-based algorithm to implement the scheme. Through security analysis and performance analysis, our protocol is provable secure and efficient.

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