Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

Privacy-Preserving Public Auditing and Data Dynamics for Secure Cloud Storage Based on Exact Regenerated Code

2019 ◽  
Vol 9 (4) ◽  
pp. 1-20
Author(s):  
Syam Kumar Pasupuleti
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Sensitive Data ◽  
Public Auditing ◽  
Data Dynamics ◽  
Secure Cloud Storage ◽  
And Performance ◽  
Local Storage ◽  
Recovery Problem ◽  
Provably Secure

Cloud storage allows users to store their data in the cloud to avoid local storage and management costs. Since the cloud is untrusted, the integrity of stored data in the cloud has become an issue. To address this problem, several public auditing schemes have been designed to verify integrity of the data in the cloud. However, these schemes have two drawbacks: public auditing may reveal sensitive data to verifier and does not address the data recovery problem efficiently. This article proposes a new privacy-preserving public auditing scheme with data dynamics to secure the data in the cloud based on an exact regenerated code. This scheme encodes the data for availability, then masks the encoded blocks with randomness for privacy of data and enables a public auditor to verify the integrity of the data. Further, this scheme also supports dynamic data updates. In addition, security and performance analysis proves that proposed scheme is provably secure and efficient.

Privacy-Preserving Public Auditing and Data Dynamics for Secure Cloud Storage Based on Exact Regenerated Code

2021 ◽  
pp. 1003-1022
Author(s):  
Syam Kumar Pasupuleti
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Sensitive Data ◽  
Dynamic Data ◽  
Public Auditing ◽  
Data Dynamics ◽  
Secure Cloud Storage ◽  
And Performance ◽  
Local Storage ◽  
Recovery Problem

Cloud storage allows users to store their data in the cloud to avoid local storage and management costs. Since the cloud is untrusted, the integrity of stored data in the cloud has become an issue. To address this problem, several public auditing schemes have been designed to verify integrity of the data in the cloud. However, these schemes have two drawbacks: public auditing may reveal sensitive data to verifier and does not address the data recovery problem efficiently. This article proposes a new privacy-preserving public auditing scheme with data dynamics to secure the data in the cloud based on an exact regenerated code. This scheme encodes the data for availability, then masks the encoded blocks with randomness for privacy of data and enables a public auditor to verify the integrity of the data. Further, this scheme also supports dynamic data updates. In addition, security and performance analysis proves that proposed scheme is provably secure and efficient.

Secure and efficient privacy-preserving public auditing scheme for cloud storage

2014 ◽  
Vol 40 (5) ◽  
pp. 1703-1713 ◽  
Author(s):  
Solomon Guadie Worku ◽  
Chunxiang Xu ◽  
Jining Zhao ◽  
Xiaohu He
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

Privacy-Preserving Self-Certified Public Auditing for Secure Cloud Storage

2016 ◽  
Vol 43 (4) ◽  
pp. 497-508
Author(s):  
Mokryeon Baek ◽  
Dongmin Kim ◽  
Ik Rae Jeong
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing ◽  
Secure Cloud Storage

scholarly journals Privacy-Preserving Public Auditing for Secure Cloud Storage

2013 ◽  
Vol 62 (2) ◽  
pp. 362-375 ◽  
Author(s):  
Cong Wang ◽  
Sherman S.M. Chow ◽  
Qian Wang ◽  
Kui Ren ◽  
Wenjing Lou
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing ◽  
Secure Cloud Storage

scholarly journals Privacy-Preserving Public Auditing For Secure Cloud Storage

2014 ◽  
Vol 16 (4) ◽  
pp. 33-38 ◽  
Author(s):  
Salve Bhagyashri ◽  
◽  
Prof. Y.B Gurav
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing ◽  
Secure Cloud Storage
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