Cargando…
A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System
Nowadays, finding genetic components and determining the likelihood that treatment would be helpful for patients are the key issues in the medical field. Medical data storage in a centralized system is complex. Data storage, on the other hand, has recently been distributed electronically in a cloud-...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741337/ https://www.ncbi.nlm.nih.gov/pubmed/36501776 http://dx.doi.org/10.3390/s22239074 |
_version_ | 1784848294591070208 |
---|---|
author | Gaur, Rajkumar Prakash, Shiva Kumar, Sanjay Abhishek, Kumar Msahli, Mounira Wahid, Abdul |
author_facet | Gaur, Rajkumar Prakash, Shiva Kumar, Sanjay Abhishek, Kumar Msahli, Mounira Wahid, Abdul |
author_sort | Gaur, Rajkumar |
collection | PubMed |
description | Nowadays, finding genetic components and determining the likelihood that treatment would be helpful for patients are the key issues in the medical field. Medical data storage in a centralized system is complex. Data storage, on the other hand, has recently been distributed electronically in a cloud-based system, allowing access to the data at any time through a cloud server or blockchain-based ledger system. The blockchain is essential to managing safe and decentralized transactions in cryptography systems such as bitcoin and Ethereum. The blockchain stores information in different blocks, each of which has a set capacity. Data processing and storage are more effective and better for data management when blockchain and machine learning are integrated. Therefore, we have proposed a machine-learning–blockchain-based smart-contract system that improves security, reduces consumption, and can be trusted for real-time medical applications. The accuracy and computation performance of the IoHT system are safely improved by our system. |
format | Online Article Text |
id | pubmed-9741337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97413372022-12-11 A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System Gaur, Rajkumar Prakash, Shiva Kumar, Sanjay Abhishek, Kumar Msahli, Mounira Wahid, Abdul Sensors (Basel) Article Nowadays, finding genetic components and determining the likelihood that treatment would be helpful for patients are the key issues in the medical field. Medical data storage in a centralized system is complex. Data storage, on the other hand, has recently been distributed electronically in a cloud-based system, allowing access to the data at any time through a cloud server or blockchain-based ledger system. The blockchain is essential to managing safe and decentralized transactions in cryptography systems such as bitcoin and Ethereum. The blockchain stores information in different blocks, each of which has a set capacity. Data processing and storage are more effective and better for data management when blockchain and machine learning are integrated. Therefore, we have proposed a machine-learning–blockchain-based smart-contract system that improves security, reduces consumption, and can be trusted for real-time medical applications. The accuracy and computation performance of the IoHT system are safely improved by our system. MDPI 2022-11-23 /pmc/articles/PMC9741337/ /pubmed/36501776 http://dx.doi.org/10.3390/s22239074 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gaur, Rajkumar Prakash, Shiva Kumar, Sanjay Abhishek, Kumar Msahli, Mounira Wahid, Abdul A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title | A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title_full | A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title_fullStr | A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title_full_unstemmed | A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title_short | A Machine-Learning–Blockchain-Based Authentication Using Smart Contracts for an IoHT System |
title_sort | machine-learning–blockchain-based authentication using smart contracts for an ioht system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741337/ https://www.ncbi.nlm.nih.gov/pubmed/36501776 http://dx.doi.org/10.3390/s22239074 |
work_keys_str_mv | AT gaurrajkumar amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT prakashshiva amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT kumarsanjay amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT abhishekkumar amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT msahlimounira amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT wahidabdul amachinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT gaurrajkumar machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT prakashshiva machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT kumarsanjay machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT abhishekkumar machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT msahlimounira machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem AT wahidabdul machinelearningblockchainbasedauthenticationusingsmartcontractsforaniohtsystem |