Cited by 217Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningCryptography and Data Security

The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.

MIStore: a Blockchain-Based Medical Insurance Storage System

Open access
Zhou, Lijing, Wang, Licheng, Sun, Yiru·2018·Journal of Medical Systems

Abstract

Currently, blockchain technology, which is decentralized and may provide tamper-resistance to recorded data, is experiencing exponential growth in industry and research. In this paper, we propose the MIStore, a blockchain-based medical insurance storage system. Due to blockchain's the property of tamper-resistance, MIStore may provide a high-credibility to users. In a basic instance of the system, there are a hospital, patient, insurance company and n servers. Specifically, the hospital performs a (t, n)-threshold MIStore protocol among the n servers. For the protocol, any node of the blockchain may join the protocol to be a server if the node and the hospital wish. Patient's spending data is stored by the hospital in the blockchain and is protected by the n servers. Any t servers may help the insurance company to obtain a sum of a part of the patient's spending data, which servers can perform homomorphic computations on. However, the n servers cannot learn anything from the patient's spending data, which recorded in the blockchain, forever as long as more than n - t servers are honest. Besides, because most of verifications are performed by record-nodes and all related data is stored at the blockchain, thus the insurance company, servers and the hospital only need small memory and CPU. Finally, we deploy the MIStore on the Ethererum blockchain and give the corresponding performance evaluation.

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Registry

Crossref · 10.1007/s10916-018-0996-4

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Figures

Fig. 1 An overview of MIStore. Step 1: Hospital sends a initialize-transaction to blockchain networl. Step 2: Hospital sends record-transactions to blockchain network. Step 2.5: The patient can verify whether his spending records are correctly computed by hospital. Step 3: Insurance company sends a query-transaction to query some result. Step 4: Servers read the query-transaction and related record-transactions from blockchain. Step 5: After locally computing, servers generate their responses and then send respond-transactions to blockchain network. Step 6: Insurance company collects respond-transactions and obtains t correct responses. Step 7: Insurance company recovers the result with the t correct responses
Fig. 1 An overview of MIStore. Step 1: Hospital sends a initialize-transaction to blockchain networl. Step 2: Hospital sends record-transactions to blockchain network. Step 2.5: The patient can verify whether his spending records are correctly computed by hospital. Step 3: Insurance company sends a query-transaction to query some result. Step 4: Servers read the query-transaction and related record-transactions from blockchain. Step 5: After locally computing, servers generate their responses and then send respond-transactions to blockchain network. Step 6: Insurance company collects respond-transactions and obtains t correct responses. Step 7: Insurance company recovers the result with the t correct responsesCC BY · PubMed Central
Fig. 2 Basic verifications and payload verifications. All transactions are verified by record-nodes before they are recorded in the blockchain. For query-transactions and record-transactions, record-nodes just perform basic verifications. While for initialize-transactions and respond-transactions, record-nodes perform basic verifications and payload verifications
Fig. 2 Basic verifications and payload verifications. All transactions are verified by record-nodes before they are recorded in the blockchain. For query-transactions and record-transactions, record-nodes just perform basic verifications. While for initialize-transactions and respond-transactions, record-nodes perform basic verifications and payload verificationsCC BY · PubMed Central
Fig. 3 Work process of TVHCSS
Fig. 3 Work process of TVHCSSCC BY · PubMed Central

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Cites

Research works printed but not linked: 6

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Metadata

Authors
Zhou, L., Wang, L., & Sun, Y.
Affiliations
Beijing University of Posts and Telecommunications (CN)
Corresponding author
Wang, Licheng
Venue
Journal of Medical Systems
Published
2018-07-02
Volume
42
Issue
8
Pages
149-149
ISSN
  • 0148-5598 (ISSN-L)
  • 1573-689X
OpenAlex
W2810711254
Cited by
217
References
23
Citations by year
2026: 11 · 2025: 12 · 2024: 25 · 2023: 36 · 2022: 48 · 2021: 43 · 2020: 18 · 2019: 21 · 2018: 3
FWCI
34.29
Type
journal article
Language
en
Open access
Locations
  • Journal of Medical Systems (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (61502048)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
Keywords
blockchain, health insurance, data storage, threshold secret sharing, privacy preservation, tamper resistance, Ethereum, secure multi-party computation
MeSH terms
Humans, Insurance, Health, Research, Technology, Information Storage and Retrieval, Computer Security

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