P3DP: privacy preserving provable data possession with multi-copy and data dynamics in a cloud storage

2016 ◽  
Vol 31 (2) ◽  
pp. 1065-1078 ◽  
Author(s):  
Zuojie Deng ◽  
Jingli Zhou
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Provable Data Possession ◽  
Data Dynamics

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.

Lightweight and Privacy-Preserving Delegatable Proofs of Storage with Data Dynamics in Cloud Storage

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Anjia Yang ◽  
Jia Xu ◽  
Jian Weng ◽  
Jianying Zhou ◽  
Duncan S. Wong
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Data Dynamics

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
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