Dynamic Outsourced Auditing Services for Cloud Storage Based on Batch-Leaves-Authenticated Merkle Hash Tree

Rao, Lu; Zhang, Hua; Tu, Tengfei

doi:10.1109/tsc.2017.2708116

Cited by 53 publications

(16 citation statements)

References 21 publications

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“…MSHT was originally designed by Miao et al in 2018 [40], which could be regarded as a development of the traditional MHT [41]. Similar to MHT, MSHT can also verify the data integrity of any subset [42].…”

Section: Preliminariesmentioning

confidence: 99%

Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage

Yang

Song

Ding

et al. 2022

Wireless Communications and Mobile Computing

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Cloud storage, an economically attractive service offered by cloud service providers (CSPs), has attracted a large number of tenants. However, because the ownership and management of outsourced data are separated, outsourced data faces a lot of security challenges, for instance, data security, data integrity, data update, and so on. In this article, we primarily investigate the problem of efficient data integrity auditing supporting provable data update in cloud computing environment. Subsequently, on the basis of the Merkel sum hash tree (MSHT), we introduce an efficient outsourced data integrity auditing scheme. Our designed scheme could synchronously meet the requirements of provable data update and data confidentiality without dependency on a third authority. At the same time, the numerical analysis shows that the computing complexity logarithmically grows with the number of outsourced subfiles. Finally, a prototype implementation is developed to simulate our designed scheme and measure its performance. The consequences of experiments present that compared with some previous solutions, our designed scheme has much more attractive practicality and higher efficiency in practical applications.

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Section: Preliminariesmentioning

confidence: 99%

Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage

Yang

Song

Ding

et al. 2022

Wireless Communications and Mobile Computing

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“…In recent years, more and more researchers have conducted further research on multi-replica storage, 11,12 and the dynamic operation of outsourced data. 13 In 2020, Rao et al 14 proposed a dynamic audit scheme. It adopts a new Merkle hash tree (MHT) method based on batch leaf authentication to process multiple leaf nodes and their indexes.…”

Section: Related Workmentioning

confidence: 99%

An arbitrable multi‐replica data auditing scheme based on smart contracts

Tian

Yang

2022

Concurrency and Computation

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Summary In order to improve the availability and persistence of data, lightweight cloud users want to store multiple‐replicas of the original file on the server with less local computing and storage overhead. Meanwhile, to ensure the integrity of the remote storage data, some schemes have been designed to allow public verification. However, most existing schemes only focus on malicious cloud service providers and ignore the possibility that dishonest users cheat for profit. This article implements an arbitrable data auditing scheme under multi‐replica storage. The scheme adopts a new arbitration mechanism under multi‐replica storage, makes use of the non‐tampering characteristics of smart contracts, carries out reliable verification through miners, and realizes the timely detection and punishment of any fraudulent entity. In addition, the scheme also designs a multi‐replica storage model based on the B* tree, realizes the batch verification of replica blocks, enables the fraud behavior of malicious users to be identified after data update, and improves the space utilization efficiency. The article also gives detailed security proof of the proposed scheme. The evaluation result shows our scheme not only realizes a more practical and fairer audit scheme but also has lower computational overhead than current state‐of‐the‐art multi‐replica arbitrable schemes.

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“…In their scheme, sensitive information is protected while other information is not affected. Rao et al [29] presented a new approach, based on batch-leaves-authenticated Merkle hash tree, to batch-verify multiple leaf nodes and their own indexes altogether.…”

Section: Related Workmentioning

confidence: 99%

“…Performance Analysis. In this section, we analyse the computation and memory overhead, and we make a brief comparison with Rao's [29].…”

Section: □ Lemma 3 Csp and Tpa Cannot Conduct Collusion Attacksmentioning

confidence: 99%

Audit Outsourced Data in Internet of Things

Hou

et al. 2021

Security and Communication Networks

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With the increase in network transmission rates, the Internet of Things (IoT) has gradually become a trend. Users can upload the data generated by the device to the cloud database to save local storage space, thereby reducing local storage costs. Because uploading data to the cloud loses physical control of the data, an audit is required. Traditional audit protocols are not completely suitable for lightweight devices in the IoT. This paper proposes a new type of audit protocol suitable for lightweight devices with weak computing power. This protocol transfers part of the computation of data tags to a cloud storage provider (CSP) with strong computing power, thereby reducing the introduction of computing entities. Our scheme supports the dynamic operation of data and guarantees the effectiveness of challenge response by blockchain. Compared with existing schemes, our scheme is more secure and effective.

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Dynamic Outsourced Auditing Services for Cloud Storage Based on Batch-Leaves-Authenticated Merkle Hash Tree

Cited by 53 publications

References 21 publications

Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage

Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage

An arbitrable multi‐replica data auditing scheme based on smart contracts

Audit Outsourced Data in Internet of Things

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