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

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

On Indistinguishability in Remote Data Integrity Checking

2013 ◽  
Vol 58 (4) ◽  
pp. 823-830 ◽  
Author(s):  
X. Fan ◽  
G. Yang ◽  
Y. Mu ◽  
Y. Yu
Keyword(s):  
Data Integrity ◽  
Integrity Checking ◽  
Data Integrity Checking ◽  
Remote Data

scholarly journals Security Analysis and Improvements on a Remote Integrity Checking Scheme for Regenerating-Coding-Based Distributed Storage

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guangjun Liu ◽  
Wangmei Guo ◽  
Ximeng Liu ◽  
Jinbo Xiong
Keyword(s):  
Distributed Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Integrity Checking ◽  
Cloud Server ◽  
Data Integrity Checking ◽  
Checking Scheme ◽  
Data Auditing ◽  
Distributed Cloud ◽  
Remote Data

Enabling remote data integrity checking with failure recovery becomes exceedingly critical in distributed cloud systems. With the properties of a lower repair bandwidth while preserving fault tolerance, regenerating coding and network coding (NC) have received much attention in the coding-based storage field. Recently, an outstanding outsourced auditing scheme named NC-Audit was proposed for regenerating-coding-based distributed storage. The scheme claimed that it can effectively achieve lightweight privacy-preserving data verification remotely for these networked distributed systems. However, our algebraic analysis shows that NC-Audit can be easily broken due to a potential defect existing in its schematic design. That is, an adversarial cloud server can forge some illegal blocks to cheat the auditor with a high probability when the coding field is large. From the perspective of algebraic security, we propose a remote data integrity checking scheme RNC-Audit by resorting to hiding partial critical information to the server without compromising system performance. Our evaluation shows that the proposed scheme has significantly lower overhead compared to the state-of-the-art schemes for distributed remote data auditing.

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.

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