A Blockchain-Based Medical Data Sharing and Protection Scheme

Liu, Xiaoguang; Wang, Ziqing; Jin, Chunhua; Li, Fagen; Li, Gaoping

doi:10.1109/access.2019.2937685

Cited by 175 publications

(84 citation statements)

References 28 publications

(42 reference statements)

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“…The system only manages between the two parties, namely patient and healthcare provider. The author of the paper [25] also proposes a data-sharing architecture and protection scheme for blockchain-based medical records. The author designed an architecture to handle data sharing between user devices, servers, and system managers.…”

Section: Relate Workmentioning

confidence: 99%

“…The author designed an architecture to handle data sharing between user devices, servers, and system managers. Papers [24] and [25] have not used and benefited from machine learning, sensors, or IoT in their proposed architectures.…”

Section: Relate Workmentioning

confidence: 99%

“…The recommendation system for selecting tourist destinations has a variety of data criteria references, so it is more suitable to use the multicriteria concept. Several studies discussing data sharing systems, for example, in papers [22 -24] and [25], are aimed at fields other than tourism recommendation systems that have different data characteristics, data sharing scenarios, and system architectures. Therefore, the motivation for this paper is to design a blockchain-based data-sharing system for the selection of tourism destinations with the concept of a multi-criteria recommendation system.…”

Section: Contributions and Organization Of Papermentioning

confidence: 99%

“…Each block in the blockchain has several parts, namely Block Number, Previous Hash, Current Hash, Nonce, Data, and Timestamp [48]. Blockchain is not only used in the cryptocurrency field but also developed to support the process of sharing data in other areas such as medical records [25], RFID system [49] or intelligent vehicles [28].…”

Section: Blockchain-based Data Sharingmentioning

confidence: 99%

“…Where, reference [21] is research in the field of tourism, which focuses on the implementation of blockchain in recommendation systems to handle data sharing between users. References [25] is a research in the medical field, a data-sharing system built to overcome the circulation of data sources from user nodes and servers. The type of server used is a server without machine learning (non ML).…”

Section: Comparisonmentioning

confidence: 99%

See 4 more Smart Citations

Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Arif¹,

Nurhayati²,

Kurniawan³

et al. 2020

IJIES

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One thing that tourists need to plan their tourism activities is a recommendation system. The tourism destinations recommendation system in this study has three primary nodes, namely user, server, and sensor. Each node requires the ability to share data to produce recommendations that the user expects through their mobile devices. In this paper, we propose the data-sharing system scheme uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them. The block architecture used in the blockchain network has three main parts, namely block information, hashes, and data. Each type of node has a different structure and direction of data communication. Where the user node sends destination assessment data to the server node, then the server node sends data from the machine learning process to the user node. The sensor sends dynamic data about popularity, traffic, and weather to the user node as consideration for finalizing the generating recommendations process. In the process of sending data, each node in the blockchain network goes through several functions, including hashing, block validation, chaining block, and broadcast. We conduct web-based experiments and analysis of the data-sharing system to illustrate the system works. The experimental results show that the system handles data circulation with an average time of mine is 84.5 ms in sending multi-criteria assessment data from the user and 119.1 ms in sending data of machine learning result from the server.

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Section: Relate Workmentioning

confidence: 99%

Section: Relate Workmentioning

confidence: 99%

Section: Contributions and Organization Of Papermentioning

confidence: 99%

Section: Blockchain-based Data Sharingmentioning

confidence: 99%

Section: Comparisonmentioning

confidence: 99%

See 3 more Smart Citations

Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Arif¹,

Nurhayati²,

Kurniawan³

et al. 2020

IJIES

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Blockchain assisted encryption scheme for intellectual share estimation using medical research data

Diwan,

Kashyap,

Khandelwal

2023

Concurrency and Computation

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SummaryRecently, blockchain utilization with advanced encryption and decryption has gained improved attention over diverse applications. Especially in the medical field, big data storage requires an effective medium for managing user data with high confidentiality. The existing research presents diverse encryption algorithms, but certain drawbacks include sensitive information leakage, ineffective data integrity verification, and increased computational cost and time. The proposed work develops an effective blockchain mechanism for secured data storage to conquer these limitations. This article secures the medical research data from different team members for intellectual share estimation. Initially, the registration process involves user details such as name, contact number, age and so on. Next, a digital signature is generated for every registered user using the SHA‐256 hash algorithm. During data uploading, the data is encrypted using elliptic curve Diffie Hellman encryption scheme to promote security. The audio and video files are stored in inter planetary file system, and texts are stored in the blockchain. The users can retrieve the stored data from the blockchain using the encryption key. The identities and associated public keys are verified using a smart contract to validate the user certificate. Next, a decision form is made to show the polling mechanism using item preference ranking for other users viewing the data. The proposed mechanism ensures intellectual shares for all the users associated with a specified project. The performances are analyzed using PYTHON, and the encryption time obtained in the proposed model is 0.85 s at 140 security bit level.

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Smart h‐Chain: A blockchain based healthcare framework with insurance fraud detection

Mahapatra,

Sinha

2023

Trans Emerging Tel Tech

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In today's smart applications, very frequently used data like electronic health records (EHR's) are highly sensitive and soft target to the unauthorized agencies. Data management, integrity, and security issues plague EHR systems. Insurance firms are prohibited by law and corporate privacy from sharing patient data, but because the data are not linked and synchronized among insurance providers, there has been a rise in healthcare fraud. A crucial component of an e‐health system is safe communication between patients, healthcare providers, and insurance companies. Building a system to securely manage and track insurance operations by combining data from all sources is required to combat health insurance fraud. Over time, blockchain grew in popularity, and the healthcare sector's interest in it led to the development of design concepts that addressed security issues. In this study, a blockchain‐based security architecture has been presented to protect the EHR and provide a secure method for patients, their caregivers, physicians, and insurance agents to access the clinical data of the patients. By using off‐chain storage and cryptographic key exchange through blockchain our approach also covers the scalability, integrity and access control issue that a healthcare system in general is facing.A crucial component of an e‐health system is safe communication between patients, healthcare providers, and insurance companies. A blockchain‐based security architecture has been presented to protect the EHR and provide a secure method for patients, caregivers, physicians, and insurance agents to access the clinical data of the patients.

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A Blockchain-Based Medical Data Sharing and Protection Scheme

Cited by 175 publications

References 28 publications

Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Blockchain assisted encryption scheme for intellectual share estimation using medical research data

Smart h‐Chain: A blockchain based healthcare framework with insurance fraud detection

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