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Open AccessJournal ArticleDOI

MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain

TLDR
The proposed MeDShare system is blockchain-based and provides data provenance, auditing, and control for shared medical data in cloud repositories among big data entities and employs smart contracts and an access control mechanism to effectively track the behavior of the data.
Abstract
The dissemination of patients’ medical records results in diverse risks to patients’ privacy as malicious activities on these records cause severe damage to the reputation, finances, and so on of all parties related directly or indirectly to the data. Current methods to effectively manage and protect medical records have been proved to be insufficient. In this paper, we propose MeDShare, a system that addresses the issue of medical data sharing among medical big data custodians in a trust-less environment. The system is blockchain-based and provides data provenance, auditing, and control for shared medical data in cloud repositories among big data entities. MeDShare monitors entities that access data for malicious use from a data custodian system. In MeDShare, data transitions and sharing from one entity to the other, along with all actions performed on the MeDShare system, are recorded in a tamper-proof manner. The design employs smart contracts and an access control mechanism to effectively track the behavior of the data and revoke access to offending entities on detection of violation of permissions on data. The performance of MeDShare is comparable to current cutting edge solutions to data sharing among cloud service providers. By implementing MeDShare, cloud service providers and other data guardians will be able to achieve data provenance and auditing while sharing medical data with entities such as research and medical institutions with minimal risk to data privacy.

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Citations
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Journal ArticleDOI

A systematic literature review of blockchain-based applications: Current status, classification and open issues

TL;DR: A comprehensive classification of blockchain-enabled applications across diverse sectors such as supply chain, business, healthcare, IoT, privacy, and data management is presented, and key themes, trends and emerging areas for research are established.

科研数据共享的挑战 (The Conundrum of Sharing Research Data)

TL;DR: Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: to reproduce or to verify research, to make results of publicly funded research available to the public, to enable others to ask new questions of extant data, and to advance the state of research and innovation.
Journal ArticleDOI

Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends

TL;DR: The operating mechanism and mainstream platforms of blockchain-enabled smart contracts are introduced, and a research framework for smart contracts based on a novel six-layer architecture is proposed.
Journal ArticleDOI

Blockchain Technology in Healthcare: A Systematic Review.

TL;DR: There is a need for more research to better understand, characterize and evaluate the utility of blockchain in healthcare, and the state-of-the-art in the development of blockchain applications for healthcare, their limitations and the areas for future research are highlighted.
Journal ArticleDOI

Blockchain-based electronic healthcare record system for healthcare 4.0 applications

TL;DR: An Access Control Policy Algorithm for improving data accessibility between healthcare providers is proposed, assisting in the simulation of environments to implement the Hyperledger-based eletronic healthcare record (EHR) sharing system that uses the concept of a chaincode.
References
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Journal ArticleDOI

Big Data: A Survey

TL;DR: The background and state-of-the-art of big data are reviewed, including enterprise management, Internet of Things, online social networks, medial applications, collective intelligence, and smart grid, as well as related technologies.
Journal ArticleDOI

Big data analytics in healthcare: promise and potential

TL;DR: Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs, and its potential is great; however there remain challenges to overcome.
OtherDOI

Blockchain Technology: Principles and Applications

TL;DR: The main principles behind blockchain technology are expounded and the core concepts at the heart of the blockchain are presented, and the main features of decentralized public ledger platforms are exposed.

科研数据共享的挑战 (The Conundrum of Sharing Research Data)

TL;DR: Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: to reproduce or to verify research, to make results of publicly funded research available to the public, to enable others to ask new questions of extant data, and to advance the state of research and innovation.
Journal ArticleDOI

The conundrum of sharing research data

TL;DR: In this article, the authors examined four rationales for sharing data, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation.
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