Secure Proof of Retrievability System in Cloud for Data Integrity

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.

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A survey on Proof of Retrievability for cloud data integrity and availability: Cloud storage state-of-the-art, issues, solutions and future trends

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2018.03.017 ◽

2018 ◽

Vol 110 ◽

pp. 75-86 ◽

Cited By ~ 11

Author(s):

Choon Beng Tan ◽

Mohd Hanafi Ahmad Hijazi ◽

Yuto Lim ◽

Abdullah Gani

Keyword(s):

Cloud Storage ◽

State Of The Art ◽

Data Integrity ◽

Future Trends ◽

Cloud Data ◽

Proof Of Retrievability

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Data Integrity and Data Governance

10.1039/9781788013277 ◽

2018 ◽

Keyword(s):

Data Integrity ◽

Data Governance

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Data Integrity Techniques in Cloud Computing: An Analysis

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.36 ◽

2017 ◽

Vol 7 (8) ◽

pp. 121 ◽

Cited By ~ 1

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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A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v13i7.2501 ◽

2014 ◽

Vol 13 (7) ◽

pp. 4625-4632

Author(s):

Jyh-Shyan Lin ◽

Kuo-Hsiung Liao ◽

Chao-Hsing Hsu

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Cloud Service ◽

Third Party ◽

Group Collaboration ◽

Cloud Data ◽

Cloud Data Storage ◽

Important Trend ◽

Data Update ◽

Proof Of Retrievability

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

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A Survey on Cloud Computing Security and Data Integrity Auditing Schemes in Cloud Platform

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i7.9971001 ◽

2018 ◽

Vol 6 (7) ◽

pp. 997-1001

Author(s):

L.Ramesh . ◽

R.A.Roseline .

Keyword(s):

Cloud Computing ◽

Data Integrity ◽

Cloud Platform ◽

Cloud Computing Security

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Privacy Preserving Data Integrity Verification in Cloud

i-manager’s Journal on Cloud Computing ◽

10.26634/jcc.1.2.3054 ◽

2014 ◽

Vol 1 (2) ◽

pp. 25-31

Author(s):

T. Subha ◽

◽

S. Jayashri ◽

Keyword(s):

Data Integrity ◽

Privacy Preserving ◽

Integrity Verification

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Towards guaranteed data-integrity: A method of preventing Questionable Research Practices

10.31234/osf.io/rmfzh ◽

2018 ◽

Author(s):

Dick Bierman ◽

Jacob Jolij

Keyword(s):

Real Time ◽

Open Data ◽

Data Integrity ◽

Drop Out ◽

Research Practices ◽

Major Aspect ◽

Questionable Research Practices ◽

Blockchain Technology ◽

Integrity System ◽

Secure Server

We have tested the feasibility of a method to prevent the occurrence of so-called Questionable Research Practices (QRP). A part from embedded pre-registration the major aspect of the system is real-time uploading of data on a secure server. We outline the method, discuss the drop-out treatment and compare it to the Born-open data method, and report on our preliminary experiences. We also discuss the extension of the data-integrity system from secure server to use of blockchain technology.

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