SDIVIP2: shared data integrity verification with identity privacy preserving in mobile clouds

2015 ◽  
Vol 28 (10) ◽  
pp. 2877-2888 ◽  
Author(s):  
Yong Yu ◽  
Jianbing Ni ◽  
Qi Xia ◽  
Xiaofen Wang ◽  
Haomiao Yang ◽  
...  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification ◽  
Shared Data ◽  
Identity Privacy

Privacy Preserving Data Integrity Verification in Cloud

2014 ◽  
Vol 1 (2) ◽  
pp. 25-31
Author(s):  
T. Subha ◽  
◽  
S. Jayashri ◽  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification

scholarly journals Persistent Cohesion with Advanced Ring Signatures for Shared Data in Cloud

2021 ◽  
Vol 9 (11) ◽  
pp. 351-355
Author(s):  
M. Shaheda Begum
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Human Errors ◽  
Public Auditing ◽  
Cloud Data ◽  
Software Failures ◽  
Data Services ◽  
Shared Data ◽  
Ring Signatures ◽  
Stored Information

Abstract: Motivated by the exponential growth and the huge success of cloud data services bring the cloud common place for data to be not only stored in the cloud, but also shared across multiple users. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. Unfortunately, the integrity of cloud data is subject to skepticism due to the existence of hardware/software failures and human errors. Several mechanisms have been designed to allow both data owners and public verifiers to efficiently audit cloud data integrity without retrieving the entire data from the cloud server. However, public auditing on the integrity of shared data with these existing mechanisms will inevitably reveal confidential information—identity privacy—to public verifiers. In this paper, we propose a novel privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. In addition, our mechanism is able to perform multiple auditing tasks simultaneously instead of verifying them one by one. Our experimental results demonstrate the effectiveness and efficiency of our mechanism when auditing shared data integrity. Keywords: Public auditing, privacy-preserving, shared data, cloud computing

Auditing the Shared Data in Cloud through Privacy Preserving Mechanisms

2015 ◽  
Vol 2 (2) ◽  
pp. 22-30
Author(s):  
Lokanadham Naidu Vadlamudi ◽  
◽  
Srinivasulu Asadi ◽  
Keyword(s):  
Privacy Preserving ◽  
Shared Data
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