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An Enhanced Blockchain Technology with AES Encryption Security System for Healthcare System

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TLDR
In this paper, the authors proposed a solution to provide better communication between the patients and doctors to share their opinion and viewpoint on different kinds of problems and put the patients in control according to their clinical data, providing them with the legal rights to share the data, the clear, understandable version of their data with the medical network of every organization.
Abstract
Blockchain is the prominent security that provides more security to critical information. Blockchain provides a shared, immutable and transparent history for all the transactions built with the help of Blockchain technology that has trust, account and transparency. Blockchain technology is used to protect data and gives reliability. An AES algorithm is used to encrypt the data. The aim of the paper is that to provide better communication between the patients and doctors to share their opinion and viewpoint on different kinds of problems and put the patients in control according to their clinical data, providing them with the legal rights to share the data, the clear, understandable version of their data with the medical network of every organization, if needed.

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Citations
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Proceedings ArticleDOI

Data Encryption of Blood-chain data in Blockchain Network

E. Priya, +1 more
TL;DR: In this article , a symmetric key crypto-system is employed on part of the blood-chain data before sending transactions to the ordering service and adding blocks to the ledger, and the performance of the transaction using different parameters such as data encryption/decryption speed, storage is evaluated using Hyperledger Caliper Tool.
Proceedings ArticleDOI

Data Encryption of Blood-chain data in Blockchain Network

TL;DR: In this article , a symmetric key crypto-system is employed on part of the blood-chain data before sending transactions to the ordering service and adding blocks to the ledger, and the performance of the transaction using different parameters such as data encryption/decryption speed, storage is evaluated using Hyperledger Caliper Tool.
Proceedings ArticleDOI

hChain: Blockchain Based Healthcare Data Sharing with Enhanced Security and Privacy Location-Based-Authentication

TL;DR: In this article , the authors proposed a blockchain-based smart healthcare system using IoMT devices for continuous patient monitoring, where a symmetric key maintains data privacy in the blockchain, allowing patients to safely share data through smart contracts while preventing unauthorized physicians from seeing it.
References
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Journal ArticleDOI

A Decentralized Privacy-Preserving Healthcare Blockchain for IoT

TL;DR: This work proposes a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network that make IoT application data and transactions more secure and anonymous over a blockchain-based network.
Journal ArticleDOI

Blockchain in healthcare applications: Research challenges and opportunities

TL;DR: Concerns as blockchain technology has its own specific vulnerabilities and issues that need to be addressed, such as mining incentives, mining attacks, and key management are highlighted in this survey paper.
Journal ArticleDOI

Blockchain-Based Medical Records Secure Storage and Medical Service Framework

TL;DR: This paper design a storage scheme to manage personal medical data based on blockchain and cloud storage and a service framework for sharing medical records is described.
Journal ArticleDOI

Privacy-friendly platform for healthcare data in cloud based on blockchain environment

TL;DR: This paper presents a patient centric healthcare data management system using blockchain technology as storage which helps to attain privacy and analyzes the data processing procedures and the cost effectiveness of the smart contracts used in the system.
Book ChapterDOI

Early Detection of Lung Cancer Using Wavelet Feature Descriptor and Feed Forward Back Propagation Neural Networks Classifier

TL;DR: The proposed NN Classifier is designed by considering training functions using feed forward neural network and feed forward back propagation neural network, which gives better classification results than feed forward.