Improving cloud security by enhancing remote data integrity checking algorithm

2017 ◽  
Author(s):  
S. Suganya ◽  
P. M Durai Raj Vincent
Keyword(s):  
Data Integrity ◽  
Cloud Security ◽  
Integrity Checking ◽  
Data Integrity Checking ◽  
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.

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