SPChain: Blockchain-based medical data sharing and privacy-preserving eHealth system

Zou, Renpeng; Lv, Xixiang; Zhao, Jindong

doi:10.1016/j.ipm.2021.102604

Cited by 83 publications

(36 citation statements)

References 33 publications

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“…Of course, for the successful implementation of blockchain technology in medical data management, it is important to obtain the consent of physicians and patients. To date, many institutional and industrial institutions have recognized the importance of technology for the health sector, as well as formulated basic ideas, concepts, and key uses [ 27 ].…”

Section: State-of-the-artmentioning

confidence: 99%

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Methods of medical data management based on blockchain technologies

Hovorushchenko

Moskalenko

Osyadlyi

2022

J Reliable Intell Environ

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The healthcare sector in Ukraine has long been in need of change, and many opportunities of blockchain technology can help it lead the transformation of this sector and ensure compliance with the requirements of the efficiency, safety, novelty, and economic benefits. State-of-the-art on known decisions on the use of blockchain technologies in the information technology for medical data management showed that, despite a large number of different solutions, effective methods and solutions for medical data management based on blockchain technologies are currently lacking. Therefore, improving the efficiency of medical data management by developing methods of medical data management based on blockchain technologies is currently an urgent problem. The paper developed a method for assessing the sufficiency of medical data, which provides: the ability to analyze a variety of medical data for their sufficiency; the ability to quantify the sufficiency of medical data; in case of insufficiency of the medical data, formation of recommendations on supplementing the medical data to be able to upload them to the "Block Data" section of the blockchain block. The paper developed a method of performing transactions on medical data, which consists of the stages of entering information into the blockchain and obtaining information from the blockchain. The developed method of performing transactions on medical data provides the ability to decide on the addition of transactions and medical data from the patient to the blockchain; the ability to decide on the issuance of data from the blockchain on request from a doctor.

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Section: State-of-the-artmentioning

confidence: 99%

“…The detailed workflow of the SPChain blockchain network is presented in [ 27 ]. Every organization (such as patients and healthcare facilities) in SPChain has a blockchain account.…”

Section: State-of-the-artmentioning

confidence: 99%

Methods of medical data management based on blockchain technologies

Hovorushchenko

Moskalenko

Osyadlyi

2022

J Reliable Intell Environ

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“…Although BC offers high scalability and throughput, it may affect by rollback attacks as well as make a path for privacy leakage. Thus, to overcome these issues, Renpeng Zou, Xixiang Lv and Jingsong Zhao [20] had presented a novel eHealth system which included medical data sharing based on BC as well as privacy-preserving. In the approach, electronic medical records of patients had been stored into typical key and micro blocks for attaining quick retrieval.…”

Section: Related Workmentioning

confidence: 99%

SRMDS: Secure and Reliable Medical Data Sharing Using Hybrid Cryptography with Block Chain in E-Health Systems

Madhavi

Sasirooba

Kumar³

2022

Preprint

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Medical data sharing can help to enhance diagnostic accuracy where security and privacy protection are critical to the e-Health system. Nowadays, blockchain (BC) has been proposed as a promising solution to achieve the sharing of personal health information (PHI) because of its merit of immutability. However, privacy preserving of the patients and security of PHI sharing are further to be improved. Thus, a secure and reliable medical data sharing (SRMDS) system is presented in this paper. This system includes hybrid cryptography, private BC and Consortium BC (CBC). To enhance the privacy preserving of each patient, their PHI is encrypted using advanced encryption standard (AES) and the AES key is encrypted using adaptive elliptic curve cryptography (AECC). The ciphertexts of PHI and AES key are stored as block to the private BC of the hospital. Besides, keyword of PHI is forwarded to the CBC. The doctor can access the private BC to recover the PHI of a patient by checking the keyword of corresponding PHI. Simulation results illustrate that the proposed SRMDS based e-Health system improves the security and privacy preserving of patient by decreasing encryption time, decryption time and storage overhead.

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“…With many attractive features including tamper resistance, high security, decentralization and smart contracts, blockchain systems have received a lot of attention by academia and industry. We found that blockchain technology has been widely used in many different fields such as finance [3], [4], internet of things (IoT) [5], [6], the energy market [7], [8], and healthcare [9], [10]. While researchers have a huge interest in blockchain, popular blockchains like Bitcoin and Ethereum do not support flexible modification and configuration.…”

Section: Introductionmentioning

confidence: 99%

CBlockSim: A Modular High-Performance Blockchain Simulator

Ma¹,

Han²,

Du³

et al. 2022

Preprint

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Blockchain has attracted much attention from both academia and industry since emerging in 2008. Due to the inconvenience of the deployment of large-scale blockchains, blockchain simulators are used to facilitate blockchain design and implementation. We evaluate state-of-the-art simulators applied to both Bitcoin and Ethereum and find that they suffer from low performance and scalability which are significant limitations. To build a more general and faster blockchain simulator, we extend an existing blockchain simulator, i.e. BlockSim. We add a network module integrated with a network topology generation algorithm and a block propagation algorithm to generate a realistic blockchain network and simulate the block propagation efficiently. We design a binary transaction pool structure and migrate BlockSim from Python to C++ so that bitwise operations can be used to accelerate the simulation and reduce memory usage. Moreover, we modularize the simulator based on five primary blockchain processes. Significant blockchain elements including consensus protocols (PoW and PoS), information propagation algorithms (Gossip) and finalization rules (Longest rule and GHOST rule) are implemented in individual modules and can be combined flexibly to simulate different types of blockchains. Experiments demonstrate that the new simulator reduces the simulation time by an order of magnitude and improves scalability, enabling us to simulate more than ten thousand nodes, roughly the size of the Bitcoin and Ethereum networks. Two typical use cases are proposed to investigate network-related issues which are not covered by most other simulators.

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SPChain: Blockchain-based medical data sharing and privacy-preserving eHealth system

Cited by 83 publications

References 33 publications

Methods of medical data management based on blockchain technologies

Methods of medical data management based on blockchain technologies

SRMDS: Secure and Reliable Medical Data Sharing Using Hybrid Cryptography with Block Chain in E-Health Systems

CBlockSim: A Modular High-Performance Blockchain Simulator

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