Empowering Data Recovery with Data Integrity Protection through FMSR for Cloud Storage

2016 ◽  
Vol 38 (6) ◽  
pp. 282-285
Author(s):  
Sonali V. Ghule ◽  
◽  
Pratibha S. Yalagi
Keyword(s):  
Cloud Storage ◽  
Data Integrity ◽  
Data Recovery ◽  
Integrity Protection

scholarly journals Survey on Data Integrity, Recovery, and Proof of Retrievability Techniques in Cloud Storage

2018 ◽  
Vol 7 (3.6) ◽  
pp. 55
Author(s):  
Neha Narayan Kulkarni ◽  
Shital Kumar A. Jain ◽  
. .
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Data Security ◽  
Cloud Storage ◽  
Data Integrity ◽  
Data Recovery ◽  
Unstructured Data ◽  
Large Memory ◽  
Local Storage ◽  
Proof Of Retrievability

Recently the technologies are growing fast, so they have become the point of source and also the sink for data. Data is generated in large volume introducing the concept of structured and unstructured data evolving "Big Data" which needs large memory for storage. There are two possible solutions either increase the local storage or use the Cloud Storage. Cloud makes data available to the user anytime, anywhere, anything. Cloud allows the user to store their data virtually without investing much. However, this data is on cloud raising a concern of data security and recovery. This attack is made by the untrusted or unauthorized user remotely. The attacker may modify, delete or replace the data. Therefore, different models are proposed for a data integrity check and proof of retrievability. This paper includes the literature review related to various techniques for data integrity, data recovery and proof of retrievability.  

scholarly journals Hierarchical remote data possession checking method based on massive cloud files

2016 ◽  
Vol 11 (2) ◽  
pp. 126-134
Author(s):  
Ma Haifeng ◽  
Gao Zhenguo ◽  
Yao Nianmin
Keyword(s):  
Cloud Storage ◽  
False Negative ◽  
False Negative Rate ◽  
Data Integrity ◽  
Communication Overhead ◽  
Local Data ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Integrity Protection ◽  
Remote Data

Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.

scholarly journals Data Integrity Protection in Cloud

2021 ◽  
Vol 10 (02) ◽  
pp. 211-218
Author(s):  
Indira G ◽  
Sujitha S ◽  
S.Ganapathy Subramanian
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Access Control ◽  
Real Time ◽  
Cloud Storage ◽  
Data Integrity ◽  
Outsourced Data ◽  
Integrity Protection

In cloud computing integrity of data and access control are challenging issues. Protection of outsourced data in cloud storage becomes critical. Codes which are regenerating of data provide fault tolerance. Therefore, remotely checking the integrity of data against corruptions and other issues under a real time cloud storage setting is our problem of study. It practically design and implement Data Integrity Protection (DIP) environment.

Data Integrity Techniques in Cloud Computing: An Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 121 ◽  
Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Data Integrity ◽  
Advantages And Disadvantages ◽  
Security Models ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Cloud Users ◽  
It Enterprises

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.

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