A secure cloud storage system supporting privacy-preserving fuzzy deduplication

2015 ◽  
Vol 20 (4) ◽  
pp. 1437-1448 ◽  
Author(s):  
Xuan Li ◽  
Jin Li ◽  
Faliang Huang
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Privacy Preserving ◽  
Secure Cloud Storage

Design of Secure Cloud Storage System for Enterprise Information Resources

2014 ◽  
Vol 668-669 ◽  
pp. 1257-1262
Author(s):  
Jun Zuo ◽  
Zhen Zhu ◽  
Jing Yan Wang
Keyword(s):  
Cloud Storage ◽  
Control Strategies ◽  
Storage System ◽  
Information Resources ◽  
Information Storage ◽  
Enterprise Information ◽  
Existing Problems ◽  
Secure Cloud Storage ◽  
Storage Hierarchy ◽  
Massive Information

In order to meet growing demand of storage resources, improve the security and integrity of enterprise information resources, this paper analyzes storage resources status and existing problems of Foshan XY Elec-Mech Limited Corp in the first. Based on detailed analysis of cloud storage hierarchy and its advantages, the cloud storage framework is designed to meet enterprise’s demands, security control strategies and backup strategies are also discussed. After implementation, the integration of information resources in multi-systems and multi-platforms may realized for providing users with massive information storage and access services. Furthermore, when disaster coming, multiple backups may be used to recovery for ensuring the continuity of enterprise’s business processing.

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.

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