SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance

Fernando, Dinuni; Kulshrestha, Siddharth; Herath, J. Dinal; Mahadik, Nitin; Ma, Yanzhe; Bai, Changxin; Yang, Ping; Yan, Guanhua; Lu, Shiyong

doi:10.1109/cic48465.2019.00019

Cited by 16 publications

(10 citation statements)

References 26 publications

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“…However, it lacks implementation details. Fernando et al [49] argue that data stored in ProChain is data product rather than provenance. They propose SciBlock on Ethereum with a new data structure to additionally store temporal information, which is important to identify outdated results.…”

Section: Bc-assisted Bp Executionsmentioning

confidence: 99%

Applications of Blockchain in Business Processes: A Comprehensive Review

Viriyasitavat

Niyato

et al. 2022

IEEE Access

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Blockchain (BC), as an emerging technology, is revolutionizing Business Process Management (BPM) in multiple ways. The main adoption is to serve as a trusted infrastructure to guarantee the trust of collaborations among multiple partners in trustless environments. Especially, BC enables trust of information by using Distributed Ledger Technology (DLT). With the power of smart contracts, BC enforces the obligations of counterparties that transact in a business process (BP) by programming the contracts as transactions. This paper aims to study the state-of-the-art of BC technologies by (1) exploring its applications in BPM with the focus on how BC provides the trust of BPs in their lifecycles; (2) identifying the relations of BPM as the need and BC as the solution with the assessment towards BPM characteristics; (3) discussing the up-to-date progresses of critical BC in BPM; (4) identifying the challenges and research directions for future advancement in the domain. The main conclusions of our comprehensive review are (1) the study of adopting BC in BPM has attracted a great deal of attention that has been evidenced by a rapidly growing number of relevant articles. (2) The paradigms of BPM over Internet of Things (IoT) have been shifted from persistent to transient, from static to dynamic, and from centralized to decentralized, and new enabling technologies are highly demanded to fulfill some emerging functional requirements (FRs) at the stages of design, configuration, diagnosis, and evaluation of BPs in their lifecycles. (3) BC has been intensively studied and proven as a promising solution to assure the trustiness for both of business processes and their executions in decentralized BPM. (4) Most of the reported BC applications are at their primary stages, future research efforts are needed to meet the technical challenges involved in interoperation, determination of trusted entities, confirmation of time-sensitive execution, and support of irreversibility.INDEX TERMS Blockchain, business process management, smart contracts, and trust assurance.

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Section: Bc-assisted Bp Executionsmentioning

confidence: 99%

Applications of Blockchain in Business Processes: A Comprehensive Review

Viriyasitavat

Niyato

et al. 2022

IEEE Access

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“…However, the authors do not consider an environment where the provenance data is shared only between interested and duly authorized parties, like BlockFlow. Fernando et al [28] proposed a blockchain-based system called SciBlock to provide tamper-proof and reputable storage for scientific workflow provenance data in a distributed collaborative environment. In SciBlock, the authors, in capturing and storing provenance, do not distinguish between prospective, retrospective, and evolutionary provenance.…”

Section: Related Workmentioning

confidence: 99%

Integrating Blockchain for Data Sharing and Collaboration Support in Scientific Ecosystem Platform

Coelho¹,

Braga²,

David³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Nowadays, scientific experiments are conducted collaboratively. In collaborative scientific experiments, we must consider aspects such as interoperability, privacy, and trust in shared data to allow the reproducibility of the results. A critical aspect associated with a scientific process is its provenance information, which can be defined as the origin or lineage of the data that helps understand the scientific experiment results. Another concern when conducting collaborative experiments is confidentiality, considering that only authorized personnel can share or view results. In this paper, we propose BlockFlow, a blockchain-based architecture, to bring reliability to the collaborative research, considering the capture, storage, and analysis of provenance data related to a scientific ecosystem platform (E-SECO).

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“…More recent research suggests using blockchain technology for the development of research workflow solutions for provenance, reliability, and collaboration [52]- [57], and in different steps of the research activities to ensure transparency in data acquisition, data processing, research fund distribution, researchers' contribution and the publication review process [58]- [61].…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Approach to Provenance and Reproducibility in Research Workflows

Wittek

Lawton

et al. 2021

2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

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The traditional Proof of Existence blockchain service on the Bitcoin network can be used to verify the existence of any research data at a specific point of time, and to validate the data integrity, without revealing its content. Several variants of the blockchain service exist to certify the existence of data relying on cryptographic fingerprinting, thus enabling an efficient verification of the authenticity of such certifications. However, nowadays research data is continuously changing and being modified through different processing steps in most scientific research workflows such that certifications of individual data objects seem to be constantly outdated in this setting. This paper describes how the blockchain and distributed ledger technology can be used to form a new certification model, that captures the research process as a whole in a more meaningful way, including the description of the used data through its different stages and the associated computational pipeline, code for analysis and the experimental design. The scientific blockchain infrastructure bloxberg, together with a deep learning based analysis from the behavioral science field are used to show the applicability of the approach.

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SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance

Cited by 16 publications

References 26 publications

Applications of Blockchain in Business Processes: A Comprehensive Review

Applications of Blockchain in Business Processes: A Comprehensive Review

Integrating Blockchain for Data Sharing and Collaboration Support in Scientific Ecosystem Platform

A Blockchain-Based Approach to Provenance and Reproducibility in Research Workflows

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