A review on public auditing in cloud environment

Thangavel, M.; Varalakshmi, P.; Preethi, T.; Renganayaki, S.; Subhapriya, G.R.; Banu, A. Zeenath

doi:10.1109/icices.2016.7518926

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…To ensure the correctness and completeness of outsourced data, cloud auditing, also known as remote data integrity checking (RDIC), has emerged [18][19][20]. Generally speaking, there are two implementation models for cloud auditing, i.e., private auditing and public auditing.…”

Section: Introductionmentioning

confidence: 99%

Public auditing for real-time medical sensor data in cloud-assisted HealthIIoT system

Wang

Tian

et al. 2022

Front. Optoelectron.

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With the advancement of industrial internet of things (IIoT), wireless medical sensor networks (WMSNs) have been widely introduced in modern healthcare systems to collect real-time medical data from patients, which is known as HealthIIoT. Considering the limited computing and storage capabilities of lightweight HealthIIoT devices, it is necessary to upload these data to remote cloud servers for storage and maintenance. However, there are still some serious security issues within outsourcing medical sensor data to the cloud. One of the most significant challenges is how to ensure the integrity of these data, which is a prerequisite for providing precise medical diagnosis and treatment. To meet this challenge, we propose a novel and efficient public auditing scheme, which is suitable for cloud-assisted HealthIIoT system. Specifically, to address the contradiction between the high real-time requirement of medical sensor data and the limited computing power of HealthIIoT devices, a new online/offline tag generation algorithm is designed to improve preprocessing efficiency; to protect medical data privacy, a secure hash function is employed to blind the data proof. We formally prove the security of the presented scheme, and evaluate the performance through detailed experimental comparisons with the state-of-the-art ones. The results show that the presented scheme can greatly improve the efficiency of tag generation, while achieving better auditing performance than previous schemes. Graphical abstract

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Section: Introductionmentioning

confidence: 99%

Public auditing for real-time medical sensor data in cloud-assisted HealthIIoT system

Wang

Tian

et al. 2022

Front. Optoelectron.

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Merkle Tree and Blockchain-Based Cloud Data Auditing

Mohan

Asfak

Gladston

2020

International Journal of Cloud Applications and Computing

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Cloud computing is the fastest growing and most promising field in the service provisioning segment. It has become a challenging task to provide security in the cloud. The purpose of this article is to suggest a better and efficient integrity verification technique for data referred to as cloud audit. The deployment of cloud storage services has significant benefits in the management of data for users. However, this raises many security concerns, and one of them is data integrity. Though public verification techniques serve the purpose they are vulnerable to procrastinating auditors who may not perform verifications on time. In this article, a cloud data auditing system is proposed. The proposed cloud data auditing system integrates Merkle Tree-based Cloud audit and the blockchain-based audit recording system, thus the core idea is to record each verification result into a blockchain as a transaction. Utilizing the time-sensitive nature of blockchain, the verifications are time-stamped after the corresponding transaction is recorded into the blockchain, which enables users to check whether auditors have performed the verifications at the prescribed time. The proposed cloud data auditing system is experimentally validated. The investigations with varied dataset size revealed less time taken, on an average of 0.25 milliseconds with the use of Merkle Tree. Further results reveal consistency of the data integrity checking.

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A review on public auditing in cloud environment

Cited by 2 publications

References 20 publications

Public auditing for real-time medical sensor data in cloud-assisted HealthIIoT system

Public auditing for real-time medical sensor data in cloud-assisted HealthIIoT system

Merkle Tree and Blockchain-Based Cloud Data Auditing

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