Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data

Li, Chunmiao; Cao, Yang; Hu, Zhenjiang; Yoshikawa, Masatoshi

doi:10.1109/icdew.2019.00-40

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…Blockchain can meet the demand in medical big data sharing process by enabling consensus among distrustful parties, and it can guarantee the security and fine-grained data access. 9 The data recorded on blockchain is tamper-resistant, persistent and traceable to achieve stability. In our proposal, sensitive parts of EMRs are recorded on permissioned blockchain.…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…They talked about how to utilize the access broker and how it may help with security breach detection and digital forensics investigations. Hu, Z., and Yoshikawa, M., et al [19] have analyzed a frameworkthat have medical data that have smart contracts on the blockchain, address permission control and break data into finegrained pieces. Before synchronizing full data are shared with various peers and with bidirectional transformations these pieces are obtained.…”

Section: Literature Surveymentioning

confidence: 99%

An Effective Meta Heuristic Based Dynamic Fine Grained Data Security Framework for Big Data

Gupta

Samad

Garg

et al. 2022

Preprint

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Medical records are transmitted between medical institutions using cloud-based Electronic Health Record (EHR) systems, which are intended to improve various medical services. Due to the potential of data breaches and the resultant loss of patient data, medical organizations find it challenging to employ cloud-based electronic medical record systems. EHR systems frequently necessitate high transmission costs, energy use, and time loss for physicians and patients. Furthermore, EHR security is a critical concern that jeopardizes patient privacy. Compared to a single system, cloud-based EHR solutions may bring extra security concerns as the system architecture gets more intricate. Access control strategies and the development of efficient security mechanisms for cloud-based EHR data are critical. For privacy reasons, the Dynamic Constrained Message Authentication (DCMA) technique is used in the proposed system to encrypt the outsource medical data by using symmetric key cryptography which uses the Seagull Optimization Algorithm (SOA) for choosing the best random keys for encryption and then resultant data is hashed using the SHA-256 technique. The system is developed in Python language, and the results are assessed using performance metrics including delay time, security rate, false error rate (FER), storage time, retrieval time, throughput ratio, encryption and decryption time, accuracy rate, key generation time, and security. The implemented system is superior in terms of security because it adopts the advance random secret keys generation which adds more security to the system of about 94% with less delay and loss ratio.

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“…Blockchain technology has received increasing attention because it provides a new paradigm of value exchange. Although it stems from cryptocurrency, many studies have investigated the adoption of blockchain in different application scenarios beyond financial domain that typically involve multiple parties with conflict of interests such as personal data sharing [8,9,10], supply chain [11,12,13], identity management [14,15] and medical data management [16,17,18,19,20,21,22]. They show that using blockchain technology can reduce friction and increase transparency.…”

Section: Introductionmentioning

confidence: 99%

Efficient logging and querying for blockchain-based cross-site genomic dataset access audit

Cao

Xiong

2020

BMC Med Genomics

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Background: Genomic data have been collected by different institutions and companies and need to be shared for broader use. In a cross-site genomic data sharing system, a secure and transparent access control audit module plays an essential role in ensuring the accountability. A centralized access log audit system is vulnerable to the single point of attack and also lack transparency since the log could be tampered by a malicious system administrator or internal adversaries. Several studies have proposed blockchain-based access audit to solve this problem but without considering the efficiency of the audit queries. The 2018 iDASH competition first track provides us with an opportunity to design efficient logging and querying system for cross-site genomic dataset access audit. We designed a blockchain-based log system which can provide a lightweight and widely compatible module for existing blockchain platforms. The submitted solution won the third place of the competition. In this paper, we report the technical details in our system. Methods: We present two methods: baseline method and enhanced method. We started with the baseline method and then adjusted our implementation based on the competition evaluation criteria and characteristics of the log system. To overcome obstacles of indexing on the immutable Blockchain system, we designed a hierarchical timestamp structure which supports efficient range queries on the timestamp field. Results: We implemented our methods in Python3, tested the scalability, and compared the performance using the test data supplied by competition organizer. We successfully boosted the log retrieval speed for complex AND queries that contain multiple predicates. For the range query, we boosted the speed for at least one order of magnitude. The storage usage is reduced by 25%. Conclusion: We demonstrate that Blockchain can be used to build a time and space efficient log and query genomic dataset audit trail. Therefore, it provides a promising solution for sharing genomic data with accountability requirement across multiple sites.

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Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data

Cited by 9 publications

References 18 publications

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

An Effective Meta Heuristic Based Dynamic Fine Grained Data Security Framework for Big Data

Efficient logging and querying for blockchain-based cross-site genomic dataset access audit

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