Blockchain-enabled Data Provenance in Cloud Datacenter Reengineering

Li, Haochen; Gai, Keke; Fang, Zhengkang; Zhu, Liehuang; Xu, Lei; Jiang, Peng

doi:10.1145/3327960.3332382

Cited by 17 publications

(3 citation statements)

References 17 publications

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“…With this, users can share their data for the first time with cryptographic protections for their privacy. In [26], the authors focus on utilizing blockchain techniques to enable data tracing throughout the entire data life cycle, with a particular emphasis on tracing data transfers within cloud data centers. In [27], the authors propose a data provenance mechanism that employs a lightweight mining algorithm.…”

Section: Related Workmentioning

confidence: 99%

Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain

Haveri,

et al. 2023

ICST Transactions on Scalable Information Systems

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Ensuring secure data provenance is crucial for maintaining accountability and confidentiality in cloud environments. Cloud data provenance involves recording the history of creation and operations performed on cloud data objects. However, establishing trust between cloud customers and service providers remains a challenge, highlighting the need for assured data provenance models in cloud storage. Blockchain technology has emerged as a solution for designing data provenance assurance mechanisms. It provides a decentralized and distributed ledger to record the provenance of digital assets. In this context, we present a blockchain-based framework for ensuring data provenance in cloud storage. Initially, we develop a cloud storage application using OpenStack swift storage. This application caters to the storage needs of university students and faculty while providing data provenance capabilities. Subsequently, we design a data provenance assurance framework for confidential files of users using the Ethereum blockchain. To evaluate the scalability and performance of the proposed framework, we analyze various factors such as transaction throughput, latency, network size, and load on the blockchain network. The performance of the system is compared under two consensus algorithms: Proof of Work and Proof of Authority. By conducting this analysis, we aim to assess the effectiveness and efficiency of the blockchain-based solution in ensuring data provenance in cloud storage environments.

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Section: Related Workmentioning

confidence: 99%

Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain

Haveri,

et al. 2023

ICST Transactions on Scalable Information Systems

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show abstract

“…In addition to the elds of Msg, there are two more elds in this structure array, namely, validate and ag. The validate eld is used to store result of validation and a value of 1 (0) for the ag eld denotes that the SaaS provider has already written (not written) this record in the blockchain [27]. The complete steps of DC traceability method are shown in algorithm 2.…”

Section: Traceability Of Assetsmentioning

confidence: 99%

“…Later, any tenant can check the authenticity of the data stored in the data centre by verifying the hash of the block with the stored hash. This makes the blockchain immutable and trustful for the tenants [27].…”

Section: Validationmentioning

confidence: 99%

Carbon Emission-aware and Trusted Multi-tenant, Multi-cloud Storage

Sharma

Kaur

2022

Preprint

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Tenants of service-based model of cloud computing benefit by saving expenditures on installation and maintenance of resources. However, the extensive use of cloud computing has resulted in a huge increase in the energy consumption by cloud data centers. This can have adverse effect on the environment due to the high amount of carbon emission into the atmosphere by the data centres. Therefore, this paper presents a carbon-emission aware strategy to allocate storage to tenants in a multi-cloud system. The proposed strategy prefers to allocate storage in data centres that have low carbon emissions than the ones with high emissions. Further, trust of the tenants in the multi-tenant, multi-cloud system is maintained by building a blockchain for proof of storage allocations. The results of simulation verify that our proposed approach, Multi-Temperature based Data Centre Allocation Algorithm (MTDC) reduces carbon emission in comparison to two standard approaches, Location based DC allocation (LDC) and Green energy-based DC allocation (GDC) while meeting the response time requirements of tenant requests.

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Efficiency Issues and Solutions in Blockchain: A Survey

Odiljon

Gai

2019

Lecture Notes in Computer Science

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Blockchain-enabled Data Provenance in Cloud Datacenter Reengineering

Cited by 17 publications

References 17 publications

Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain

Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain

Carbon Emission-aware and Trusted Multi-tenant, Multi-cloud Storage

Efficiency Issues and Solutions in Blockchain: A Survey

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