Enabling Data Integrity Check and Corruption Prevention in Thin Cloud Storage

2015 ◽  
Vol 21 (1) ◽  
pp. 46-49
Author(s):  
N Kamaladheepan ◽  
◽  
A Marimuthu
Keyword(s):  
Cloud Storage ◽  
Data Integrity ◽  
Thin Cloud ◽  
Corruption Prevention ◽  
Integrity Check

scholarly journals Securing Cloud Storage by Remote Data Integrity Check with Secured Key Generation

2021 ◽  
Vol 30 (3) ◽  
pp. 489-499
Author(s):  
Abdul Rehman ◽  
LIU Jian ◽  
Muhammad Qasim Yasin ◽  
LI Keqiu
Keyword(s):  
Cloud Storage ◽  
Data Integrity ◽  
Key Generation ◽  
Integrity Check ◽  
Remote Data

scholarly journals Third Party Public Auditing Scheme for Cloud Storage

2021 ◽  
Vol 9 (11) ◽  
pp. 1087-1093
Author(s):  
Mr. Vaishnav P. Surwase
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Research Work ◽  
Data Integrity ◽  
Third Party ◽  
Main Role ◽  
Fine Grained ◽  
Data Owner ◽  
Cloud Server ◽  
Integrity Check

Abstract: Thus the new auditing scheme has been developed by considering all these requirements. It consist of three entities: data owner, TPA and cloud server. The data owner performs various operations such as splitting the file to blocks, encrypting them, generating a hash value for each, concatenating it and generating a signature on it. The TPA performs the main role of data integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on it. It later compares both the signatures to verify whether the data stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. The cloud server is used only to save the encrypted blocks of data. This proposed auditing scheme make use of AES algorithm for encryption, SHA-2 for integrity check and RSA signature for digital signature calculation. In this philosophy, users of cloud storage services no longer physically maintain direct control over their data, which makes data security one of the major concerns of using cloud. Existing research work already allows data integrity to be verified without possession of the actual data file. When the verification is done by a trusted third party, this verification process is also called data auditing, and this third party is called an auditor. As a result, every small update will cause re-computation and updating of the authenticator for an entire file block, which in turn causes higher storage and communication overheads. In this paper, we provide a formal analysis for possible types of fine-grained data updates and propose a scheme that can fully support authorized auditing and fine-grained update requests. Basedon our scheme, we also propose an enhancement that can dramatically reduce communication overheads for verifying small updates Keywords: Cloud computing, big data, data security, authorized auditing, fine-grained dynamic data update

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.

scholarly journals An extensive research survey on data integrity and deduplication towards privacy in cloud storage

2020 ◽  
Vol 10 (2) ◽  
pp. 2011
Author(s):  
Anil Kumar G. ◽  
Shantala C. P.
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage System ◽  
Data Integrity ◽  
Data Deduplication ◽  
Research Issues ◽  
Existing Problems ◽  
Research Survey ◽  
Challenging Tasks ◽  
Future Direction

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.

scholarly journals Cloud Data Integrity Verification Algorithm for Sustainable Accounting Informatization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lin Yang
Keyword(s):  
Big Data ◽  
Execution Time ◽  
Cloud Storage ◽  
Computing Time ◽  
Data Integrity ◽  
Cloud Data ◽  
Integrity Verification ◽  
Verification Algorithm ◽  
Advantages And Disadvantages ◽  
Better Than

In recent years, people have paid more and more attention to cloud data. However, because users do not have absolute control over the data stored on the cloud server, it is necessary for the cloud storage server to provide evidence that the data are completely saved to maintain their control over the data. Give users all management rights, users can independently install operating systems and applications and can choose self-service platforms and various remote management tools to manage and control the host according to personal habits. This paper mainly introduces the cloud data integrity verification algorithm of sustainable computing accounting informatization and studies the advantages and disadvantages of the existing data integrity proof mechanism and the new requirements under the cloud storage environment. In this paper, an LBT-based big data integrity proof mechanism is proposed, which introduces a multibranch path tree as the data structure used in the data integrity proof mechanism and proposes a multibranch path structure with rank and data integrity detection algorithm. In this paper, the proposed data integrity verification algorithm and two other integrity verification algorithms are used for simulation experiments. The experimental results show that the proposed scheme is about 10% better than scheme 1 and about 5% better than scheme 2 in computing time of 500 data blocks; in the change of operation data block time, the execution time of scheme 1 and scheme 2 increases with the increase of data blocks. The execution time of the proposed scheme remains unchanged, and the computational cost of the proposed scheme is also better than that of scheme 1 and scheme 2. The scheme in this paper not only can verify the integrity of cloud storage data but also has certain verification advantages, which has a certain significance in the application of big data integrity verification.

Cryptographic Public Verification of Data Integrity for Cloud Storage Systems

2016 ◽  
Vol 3 (5) ◽  
pp. 44-52 ◽  
Author(s):  
Yuan Zhang ◽  
Chunxiang Xu ◽  
Hongwei Li ◽  
Xiaohui Liang
Keyword(s):  
Cloud Storage ◽  
Storage Systems ◽  
Data Integrity ◽  
Public Verification
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