Public Auditing Scheme for Cloud Data Integrity Verification

2020 ◽  
pp. 237-246
Author(s):  
Shivarajkumar Hiremath ◽  
R. Sanjeev Kunte
Keyword(s):  
Data Integrity ◽  
Public Auditing ◽  
Cloud Data ◽  
Integrity Verification

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.

scholarly journals Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
K. Mahalakshmi ◽  
K. Kousalya ◽  
Himanshu Shekhar ◽  
Aby K. Thomas ◽  
L. Bhagyalakshmi ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Data Integrity ◽  
Communication Cost ◽  
Disk Drives ◽  
Public Auditing ◽  
Integrity Verification ◽  
Digital Signature Algorithm ◽  
Cost Metrics ◽  
Distributed Cloud

Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with reduced cost. The performance of the entire model is tested against the existing methods in terms of their communication cost, computation cost, and overhead cost. The results of simulation show that the proposed method obtains reduced computational of 0.25% and communication cost of 0.21% than other public auditing schemes.

scholarly journals Persistent Cohesion with Advanced Ring Signatures for Shared Data in Cloud

2021 ◽  
Vol 9 (11) ◽  
pp. 351-355
Author(s):  
M. Shaheda Begum
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Human Errors ◽  
Public Auditing ◽  
Cloud Data ◽  
Software Failures ◽  
Data Services ◽  
Shared Data ◽  
Ring Signatures ◽  
Stored Information

Abstract: Motivated by the exponential growth and the huge success of cloud data services bring the cloud common place for data to be not only stored in the cloud, but also shared across multiple users. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. Unfortunately, the integrity of cloud data is subject to skepticism due to the existence of hardware/software failures and human errors. Several mechanisms have been designed to allow both data owners and public verifiers to efficiently audit cloud data integrity without retrieving the entire data from the cloud server. However, public auditing on the integrity of shared data with these existing mechanisms will inevitably reveal confidential information—identity privacy—to public verifiers. In this paper, we propose a novel privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. In addition, our mechanism is able to perform multiple auditing tasks simultaneously instead of verifying them one by one. Our experimental results demonstrate the effectiveness and efficiency of our mechanism when auditing shared data integrity. Keywords: Public auditing, privacy-preserving, shared data, cloud computing

scholarly journals ID-Based Public Auditing Protocol for Cloud Data Integrity Checking with Privacy-Preserving and Effective Aggregation Verification

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Baoyuan Kang ◽  
Lin Si ◽  
Hong Jiang ◽  
Chunqing Li ◽  
Mingming Xie
Keyword(s):  
Rapid Development ◽  
Data Integrity ◽  
Cloud Service ◽  
Data File ◽  
Privacy Preserving ◽  
Forgery Attack ◽  
Public Auditing ◽  
Cloud Data ◽  
Integrity Checking ◽  
Data Integrity Checking

With the rapid development of cloud service, people with limited storage space can store their data files to the cloud and delete the file in their memory. However, the cloud service provider may change or partly delete user’s file for his benefit. Therefore, it is necessary for the user to periodically check the data file integrity. Public auditing protocols are just designated for checking the data file integrity by an auditor on behalf of the user. Recently, based on ID-based cryptography many ID-based public auditing protocols for cloud data integrity checking are proposed. However, some existing protocols are subjected to forgery attack. Other existing protocols cannot preserve the privacy of the user, as the auditor can obtain user’s file content through times of auditing the same file blocks. In this paper, we propose a new ID-based public auditing protocol for cloud data integrity checking with optimized structure, privacy-preserving, and effective aggregation verification. We also prove that the proposed protocol can resist forgery attack under the assumption that the Diffie-Hellman problem is hard. Furthermore, we compare our protocol with other ID-based auditing protocols.

scholarly journals Blockchain-Based Cloud Data Integrity Verification Scheme with High Efficiency

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Gaopeng Xie ◽  
Yuling Liu ◽  
Guojiang Xin ◽  
Qiuwei Yang
Keyword(s):  
Cloud Storage ◽  
Large Scale ◽  
High Efficiency ◽  
Security Analysis ◽  
Data Integrity ◽  
Verification Scheme ◽  
Cloud Data ◽  
Integrity Verification ◽  
Computational Overhead ◽  
Cuckoo Filter

With the large-scale application of cloud storage, how to ensure cloud data integrity has become an important issue. Although many methods have been proposed, they still have their limitations. This paper improves some defects of the previous methods and proposes an efficient cloud data integrity verification scheme based on blockchain. In this paper, we proposed a lattice signature algorithm to resist quantum computing and introduced cuckoo filter to simplify the computational overhead of the user verification phase. Finally, the decentralized blockchain network is introduced to replace traditional centralized audit to publicize and authenticate the verification results, which improves the transparency and the security of this scheme. Security analysis shows that our scheme can resist malicious attacks and experimental results show that our scheme has high efficiency, especially in the user verification phase.

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