Using Blockchain and smart contracts for secure data provenance management

Ramachandran, Anand; Kantarcıoğlu, Murat

doi:10.48550/arxiv.1709.10000

Cited by 22 publications

(24 citation statements)

References 9 publications

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“…• To diagnose data forgery during data transition, potential solutions involve, i) reliance on provenance data to identify the faulty entity in the underlying chained processes and ii) leveraging twinned data to identify anomalies in the system that can be detected based on the digital-physical mapping. • To identify a rogue participating entity through, i) issuing or revoking participation certificates by conducting a periodic on-site inspection of the units to ascertain that industrial processes are abiding by environment-friendly operations and ethical practices, and ii) deploying a monetary punishment mechanism [70] to reward honest entities while penalizing or revoking trader's participation.…”

Section: Trustworthy Sourcesmentioning

confidence: 99%

Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges

Suhail¹,

Hussain²,

Jurdak³

et al. 2021

Preprint

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Industrial processes rely on sensory data for decision-making processes, risk assessment, and performance evaluation. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the dissemination of trustworthy data. For the physical data to be trustworthy, it needs to be cross-validated through multiple sensor sources with overlapping fields of view. Cross-validated data can then be stored on blockchain, to maintain its integrity and trustworthiness. Once trustworthy data is recorded on the blockchain, product lifecycle events can be fed into data-driven systems for process monitoring, diagnostics, and optimized control. In this regard, Digital Twins (DTs) can be leveraged in industry to draw intelligent conclusions from data by identifying the faults and recommending precautionary measures ahead of critical events. Empowering DTs with blockchain in industrial use-cases targets key challenges of disparate data repositories, untrustworthy data dissemination, and the need for predictive maintenance. In this survey, while highlighting the key benefits of using blockchain-based DTs, we present a comprehensive review of the state-of-the-art research results for blockchain-based DTs. Based on the current research trends, we discuss in detail a framework for trustworthy blockchain-based DTs. Furthermore, we also discuss current and future research and deployment challenges along with essential measures that must be taken by the blockchain-based DTs.CCS Concepts: • General and reference → Surveys and overviews; • Security and privacy → Distributed systems security.

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Section: Trustworthy Sourcesmentioning

confidence: 99%

Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges

Suhail¹,

Hussain²,

Jurdak³

et al. 2021

Preprint

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“…It would record different parties' actions to change the data and store the records on the blockchain using smart contracts. The proposed architecture in [29] using on-chain voting smart contract protects the document against unauthorized users or changes that are not verified by the majority of authorized users.…”

Section: Blockchainmentioning

confidence: 99%

Optimal Witnessing of Healthcare IoT Data Using Blockchain Logging Contract

Chinaei¹,

Gharakheili²,

Sivaraman³

2020

Preprint

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Verification of data generated by wearable sensors is increasingly becoming of concern to health service providers and insurance companies. There is a need for a verification framework that various authorities can request a verification service for the local network data of a target IoT device. In this paper, we leverage blockchain as a distributed platform to realize an on-demand verification scheme. This allows authorities to automatically transact with connected devices for witnessing services. A public request is made for witness statements on the data of a target IoT that is transmitted on its local network, and subsequently, devices (in close vicinity of the target IoT) offer witnessing service.Our contributions are threefold: (1) We develop a system architecture based on blockchain and smart contract that enables authorities to dynamically avail a verification service for data of a subject device from a distributed set of witnesses which are willing to provide (in a privacy-preserving manner) their local wireless measurement in exchange of monetary return;(2) We then develop a method to optimally select witnesses in such a way that the verification error is minimized subject to monetary cost constraints; (3) Lastly, we evaluate the efficacy of our scheme using real Wi-Fi session traces collected from a five-storeyed building with more than thirty access points, representative of a hospital. According to the current pricing schedule of the Ethereum public blockchain, our scheme enables healthcare authorities to verify data transmitted from a typical wearable device with the verification error of the order 0.01% at cost of less than two dollars for one-hour witnessing service.

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“…Additionally, DRM technologies do not allow for researchers to comply with the GDPR rights to access, rectification and erasure, which is necessary when they share data pertaining to individuals. Data provenance are the meta-data describing the history of data, such as where they originate from, their owner and the changes made to them, as well as by whom these changes were made [22,14]. DataProv [22] and ProvChain [14] are both blockchainbased solution for data provenance accountability.…”

Section: Related Workmentioning

confidence: 99%

“…Data provenance are the meta-data describing the history of data, such as where they originate from, their owner and the changes made to them, as well as by whom these changes were made [22,14]. DataProv [22] and ProvChain [14] are both blockchainbased solution for data provenance accountability. Once collected, data provenance records are published to the blockchain network, verified and eventually added to the blockchain.…”

Section: Related Workmentioning

confidence: 99%

LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE

Havelange¹,

Dumontier²,

Wouters³

et al. 2019

Preprint

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In this paper we present our preliminary work on monitoring data License accoUntability and CompliancE (LUCE). LUCE is a blockchain platform solution designed to stimulate data sharing and reuse, by facilitating compliance with licensing terms. The platform enables data accountability by recording the use of data and their purpose on a blockchain-supported platform: LUCE allows for individual data to be rectified and erased. In doing so LUCE can ensure subjects' General Data Protection Regulation's (GDPR) rights to access, rectification and erasure. Our contribution is to provide a distributed solution for the automatic management of data accountability and their license terms.

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Using Blockchain and smart contracts for secure data provenance management

Cited by 22 publications

References 9 publications

Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges

Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges

Optimal Witnessing of Healthcare IoT Data Using Blockchain Logging Contract

LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE

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