Secure Cloud Storage Techniques: A Review

Cloud technology has exponentially seen a rise in its absorption for various applications. Cloud users with limited storage might transfer their information to remote systems. In return for monetary compensation, these servers provide access to their clients’ data. Cloud storage protocols verify the integrity of this data which is hosted on the cloud. Broadly there are two types of data – static and dynamic. While many efficient protocols are already present for static data, much research is being undertaken to build a secure cloud storage system for dynamic data. This paper analyzes these existing and proposed cloud storage protocols for both static and dynamic data. Important performance parameters are identified and a comparison is drawn between the chosen methods in order to draw a contrast between the efficiency of the techniques chosen.

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Design of Secure Cloud Storage System for Enterprise Information Resources

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.668-669.1257 ◽

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.

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RAICB: Robust Authentication Immunity Cloud Bucket for Secure Cloud Storage System

Emerging Research in Computing, Information, Communication and Applications ◽

10.1007/978-81-322-2550-8_37 ◽

2015 ◽

pp. 377-394

Author(s):

G. R. Vijay ◽

A. Rama Mohan Reddy

Keyword(s):

Cloud Storage ◽

Storage System ◽

Secure Cloud Storage

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A secure cloud storage system supporting privacy-preserving fuzzy deduplication

Soft Computing ◽

10.1007/s00500-015-1596-6 ◽

2015 ◽

Vol 20 (4) ◽

pp. 1437-1448 ◽

Cited By ~ 25

Author(s):

Xuan Li ◽

Jin Li ◽

Faliang Huang

Keyword(s):

Cloud Storage ◽

Storage System ◽

Privacy Preserving ◽

Secure Cloud Storage

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A Secure Cloud Storage System from Threshold Encryption

2013 5th International Conference on Intelligent Networking and Collaborative Systems ◽

10.1109/incos.2013.101 ◽

2013 ◽

Cited By ~ 1

Author(s):

Chuan Yao ◽

Li Xu ◽

Xinyi Huang

Keyword(s):

Cloud Storage ◽

Storage System ◽

Secure Cloud Storage ◽

Threshold Encryption

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PsFS: A high-throughput parallel file system for secure Cloud Storage system

Proceedings of 2012 International Conference on Measurement, Information and Control ◽

10.1109/mic.2012.6273264 ◽

2012 ◽

Author(s):

Hongtao Du ◽

Zhanhuai Li

Keyword(s):

High Throughput ◽

Cloud Storage ◽

File System ◽

Storage System ◽

Parallel File System ◽

Secure Cloud Storage ◽

Parallel File

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Dynamic Data Possession Checking for Secure Cloud Storage Service

Journal of Networks ◽

10.4304/jnw.8.12.2713-2720 ◽

2013 ◽

Vol 8 (12) ◽

Cited By ~ 1

Author(s):

Wenzhe Jiao ◽

Guoqing Wang ◽

Zhengjun Zhai ◽

Xiaoxue Ye

Keyword(s):

Cloud Storage ◽

Dynamic Data ◽

Cloud Storage Service ◽

Storage Service ◽

Secure Cloud Storage

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

Research Anthology on Privatizing and Securing Data ◽

10.4018/978-1-7998-8954-0.ch046 ◽

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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