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Research Article

Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain

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  • @ARTICLE{10.4108/eetsis.3536,
        author={Narayan G and Pavitra Haveri and Rashmi B and Yashwardhan Deewan},
        title={Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={2},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={10},
        keywords={Data provenance, Blockchain, Ethereum, POW, POA, OpenStack, Swift API},
        doi={10.4108/eetsis.3536}
    }
    
  • Narayan G
    Pavitra Haveri
    Rashmi B
    Yashwardhan Deewan
    Year: 2023
    Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain
    SIS
    EAI
    DOI: 10.4108/eetsis.3536
Narayan G1,*, Pavitra Haveri1, Rashmi B1, Yashwardhan Deewan1
  • 1: KLE Technological University
*Contact email: narayan_dg@kletech.ac.in

Abstract

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.

Keywords
Data provenance, Blockchain, Ethereum, POW, POA, OpenStack, Swift API
Received
2023-07-06
Accepted
2023-09-30
Published
2023-10-09
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.3536

Copyright © 2023 Narayan D. G et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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