IoT-Based Healthcare Monitoring Using Blockchain

Vahdati, Monireh; HamlAbadi, Kamran Gholizadeh; Saghiri, Ali Mohammad

doi:10.1007/978-981-15-9547-9_6

Cited by 14 publications

(10 citation statements)

References 72 publications

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“…It is critical to effectively manage healthcare data in confidential and classified ways (Vahdati et al, 2021). Patient data is a complex web of interrelated entities within severely regulated boundaries that is extremely fragmented and large.…”

Section: Literature Reviewmentioning

confidence: 99%

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Kaur

Jameel

Alam

et al. 2023

JEIM

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PurposeThe purpose of this paper is to ensure the anonymity and security of health data and improve the integrity and authenticity among patients, doctors and insurance providers. Simulation and validation algorithms are proposed in this work to ensure the proper implementation of the distributed system to secure and manage healthcare data. The author also aims to examine the methodology of Wireless Body Area Networks and how it contributes to the health monitoring system.Design/methodology/approachWireless Body Area Network (WBAN) plays an important role in patient health data monitoring. In this paper, a novel framework is designed and proposed to generate data by the sensor machines and be stored in the cloud, and the transactions can be secured by blockchain. DNA cryptography is used in the framework to encrypt the hashes of the blocks. The proposed framework will ensure the anonymity and security of the health data and improve the integrity and authenticity among the patients, doctors and insurance providers.FindingsCloud Computing and Distributed Networking have transformed the IT industry and their amalgamation with intelligent systems would revolutionize the Healthcare Industry. The data being generated by devices is huge and storing it in the cloud environment would be a better decision. However, the privacy and security of healthcare data are still a concern because medical data is very confidential and desires to be safe and secure. The blockchain is a promising distributed network that ensures the security aspect of the data and makes the transactions authentic and transparent. In this work, the data is collected using various sensor devices and is transmitted to the cloud through the WBAN via the blockchain network.Research limitations/implicationsIn this paper, a framework for securing and managing the healthcare data generated by intelligent systems is proposed. As the data generated by these devices are heterogeneous and huge in nature, the cloud environment is chosen for its storage and analysis. Therefore, the transactions to and from the cloud are secured by using the blockchain-based distributed network.Practical implicationsThe target end-users of our system are the patients to keep themselves informed and healthy, healthcare providers to monitor the conditions of their patients virtually, and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.Originality/valueThe target end-users of our system are the patients for keeping themselves informed and healthy, healthcare providers for monitoring the conditions of their patients virtually and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

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Section: Literature Reviewmentioning

confidence: 99%

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Kaur

Jameel

Alam

et al. 2023

JEIM

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“…Smart health has been introduced as a novel paradigm for controlling the Chikungunya virus [25]. In [26] presents an IoT-based healthcare monitoring system that uses blockchain. In [27] focuses on long-term wearable social sensing for mental wellbeing.…”

Section: B Incremental Learning-basd Flexible Classification Modelsmentioning

confidence: 99%

Statistical Review of Health Monitoring Models for Real-Time Hospital Scenarios

Reddy,

Debasis

2023

IJRITCC

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Health Monitoring System Models (HMSMs) need speed, efficiency, and security to work. Cascading components ensure data collection, storage, communication, retrieval, and privacy in these models. Researchers propose many methods to design such models, varying in scalability, multidomain efficiency, flexibility, usage and deployment, computational complexity, cost of deployment, security level, feature usability, and other performance metrics. Thus, HMSM designers struggle to find the best models for their application-specific deployments. They must test and validate different models, which increases design time and cost, affecting deployment feasibility. This article discusses secure HMSMs' application-specific advantages, feature-specific limitations, context-specific nuances, and deployment-specific future research scopes to reduce model selection ambiguity. The models based on the Internet of Things (IoT), Machine Learning Models (MLMs), Blockchain Models, Hashing Methods, Encryption Methods, Distributed Computing Configurations, and Bioinspired Models have better Quality of Service (QoS) and security than their counterparts. Researchers can find application-specific models. This article compares the above models in deployment cost, attack mitigation performance, scalability, computational complexity, and monitoring applicability. This comparative analysis helps readers choose HMSMs for context-specific application deployments. This article also devises performance measuring metrics called Health Monitoring Model Metrics (HM3) to compare the performance of various models based on accuracy, precision, delay, scalability, computational complexity, energy consumption, and security.

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“…EncrypGen (https://encrypgen.com/), located in Miami, FL, is a B2C2B blockchain-based DNA marketplace that allows individuals to provide their Genome in return for '$DNA', a utility token that can be used to buy and sell DNA profiles. The EncrypGen platform facilitates storing, sharing, searching, buying, and selling user-provided profiles (70). The blockchain 'gene-chain' backbone is used to manage the privacy and security of genetic data as well as facilitate the data-exchange process.…”

Section: Examples Of Blockchain-based Health Data Marketplacesmentioning

confidence: 99%

Health Datasets as Assets: Blockchain-Based Valuation and Transaction Methods

Wendy¹

2022

BHTY

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There is increasing recognition about health-oriented datasets that could be regarded as intangible assets: distinct assets with future economic benefits but without physical properties. While health-oriented datasetsparticularly health records -are ascribed monetary value on the black market, there are few established methods for assessing the value for legitimate research and business purposes. The emergence of blockchain has created new commercial opportunities for transferring assets without intermediaries. Therefore, blockchain is proposed as a medium by which research datasets could be transacted to provide future value. For authorized individuals to verify their transactions, blockchain methodologies offer security, auditability, and transparency. The authors share data valuation methodologies consistent with accounting principles and include discussions of black market valuation of health data. Furthermore, this article describes blockchain-based methods of managing real-time payment/micropayment strategies.

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IoT-Based Healthcare Monitoring Using Blockchain

Cited by 14 publications

References 72 publications

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Statistical Review of Health Monitoring Models for Real-Time Hospital Scenarios

Health Datasets as Assets: Blockchain-Based Valuation and Transaction Methods

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