Bootstrapping a Blockchain Based Ecosystem for Big Data Exchange

Chen, Jinchuan; Xue, Yang

doi:10.1109/bigdatacongress.2017.67

Cited by 43 publications

(13 citation statements)

References 1 publication

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“…Bandara et al 18 proposed a big data friendly blockchain system Mystiko, which supported high transaction throughput, scalability, availability and full-text search features. Chen and Xue 19 proposed a blockchain-based ecosystem for big data exchange. Parties can cooperate in exchanging data with a decentralized way.…”

Section: Related Workmentioning

confidence: 99%

RETRACTED: Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system

Cao

Sun

Min³

2020

Measurement and Control

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With the development of big data and medical information control system, electronic medical records sharing across organizations for better medical treatment and advancement has attracted much attention both from academic and industrial areas. However, the source of big data, personal privacy concern, inherent trust issues across organizations and complicated regulation hinder the great progress of healthcare intelligence. Blockchain, as a novel technique, has been used widely to resolve the privacy and security issues in electronic medical records sharing process. In this paper, we propose a hybrid blockchain–based electronic medical records sharing scheme to address the privacy and trust issues across the medical information control systems, rendering the electronic medical records sharing process secure, effective, relatively transparent, immutable, traceable and auditable. Considering the above confidential issues, we use different sharing methods for different parts of medical big data. We share privacy-sensitive couples on the consortium blockchain, while sharing the non-sensitive parts on the public blockchain. In this way, authorized medical information control systems within the consortium can access the data on it for precise medical diagnosis. Institutions such as universities and research institutes can get access to the non-sensitive parts of medical big data for scientific research on symptoms to evolve medical technologies. A working prototype is implemented to demonstrate how the hybrid blockchain facilitates the pharmaceutical operations in a healthcare information control ecosystem. A blockchain benchmark tool Hyperledger Caliper is used to evaluate the performance of hybrid blockchain–based electronic medical records sharing scheme on throughput and average latency which proves to be practicable and excellent.

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Section: Related Workmentioning

confidence: 99%

RETRACTED: Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system

Cao

Sun

Min³

2020

Measurement and Control

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“…The big data trend keeps getting bigger and blockchain will further add to increasing the size of big data in banking, as well as influencing the exchanging or trading platform for big data (Chen and Xue, 2017). Therefore, any blockchains used in the banking sector will need the software and infrastructure to handle big data as never seen before (Marr, 2017).…”

Section: Discussionmentioning

confidence: 99%

Banking with blockchain-ed big data

Hassani

Huang

Silva

2018

Journal of Management Analytics

187

101

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Blockchain is disrupting the banking industry and contributing to the increased big data in banking. However, there exists a gap in research and development into blockchain-ed big data in banking from an academic perspective, and this gap is expected to have a significant negative impact on the adoption and development of blockchain technology for banking. In hope of motivating more active engagement by academics, researchers and bankers alike, we present the most comprehensive review of the impact of blockchain in banking to date by summarising the opportunities and challenges from a bankers perspective. In addition, we also discuss the impact that big data from blockchain will have on banking data analytics in future and show the increasing importance of filtering and signal extraction for the banking industry. Whilst there is evidence of selected banks adopting blockchain technology in isolation or small groups, we find the need for extensive research and development into several aspects of banking with blockchain to overcome the challenges which are currently hindering its adoption in banking across the globe.

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“…We can also perform data analytics on transactions of the blockchain to identify compelling patterns. (We need to check the applicability of parallel algorithms to analyze blockchain data) 5) Chen and Xue [67] stated that blockchain protects the data owner's copyrights and ownership rights by auditing the bigdata transaction logs of important documents present in the blockchain.…”

Section: Bigdata Computing Using Blockchainmentioning

confidence: 99%

“…• Decentralized storage ledger of blockchain helps in bigdata sharing • Blockchain can be used to store bigdata log operations Chen et al [67] • Auditing the bigdata transaction logs to protect owner's copyrights Yu et al [68] • Implemented Data Auditing Blockchain (DAB) that collects audit proofs Bandara et al [71] • Proposed a blockchain tool "Mystiko" based on distributed storage.…”

Section: Zheng Et Al [66] Data Management and Auditingmentioning

confidence: 99%

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

Babu¹,

Babu²

2021

ISI

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Blockchain technology is getting more and more pertinent to solve most of the digital problems that we face today. Blockchain is notable for its prominent features like immutability, decentralization, consensus, privacy, and security. However, blockchain is still suffering from different barriers like quantum attacks, scalability problems, integration problems, incompetence to face bigdata, storage problems, and so on. The main aim of this study was to find out the scope, various problems raised, and the applicability of blockchain technology when integrated with different computing paradigms like cloud computing, edge computing, fog computing, osmotic computing, big data computing, and quantum computing. To conduct this study, we have surveyed different research articles in the combination of blockchain technology and computing paradigms. Based on this survey, we have mentioned the contemporary research works, challenges, and a list of possible research opportunities and solutions.

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Bootstrapping a Blockchain Based Ecosystem for Big Data Exchange

Cited by 43 publications

References 1 publication

RETRACTED: Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system

RETRACTED: Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system

Banking with blockchain-ed big data

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

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