Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-Based Optimization Algorithm

Centralized Personal Health Records (PHR) are mutable with compromised security as it may lead to a single point of failure. Confidentiality, protection and security are the common issues in clinical record frameworks. Specific security and protection schemes are being used to secure clinical record...

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Published inJournal of circuits, systems, and computers Vol. 31; no. 1
Main Authors Mubashar, Amna, Asghar, Kalsoom, Javed, Abdul Rehman, Rizwan, Muhammad, Srivastava, Gautam, Gadekallu, Thippa Reddy, Wang, Dong, Shabbir, Maryam
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 15.01.2022
World Scientific Publishing Co. Pte., Ltd
Subjects
Algorithms
Availability
Cryptography
Fault tolerance
Optimization
Personal health
Security
Interplanetary file systems
Internet of Things (IoT)
next generation networks
personal health record
Online AccessGet full text
ISSN0218-1266
1793-6454
DOI10.1142/S0218126622500104

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Abstract Centralized Personal Health Records (PHR) are mutable with compromised security as it may lead to a single point of failure. Confidentiality, protection and security are the common issues in clinical record frameworks. Specific security and protection schemes are being used to secure clinical records. Accordingly, using the Interplanetary File System (IPFS), a decentralized PHR can be maintained to allow patients to access their records without delay. Moreover, a Kademlia-based distributed hash table provides fault tolerance and enables patients to keep track of their medical history. However, a significant issue in IPFS is data availability. It is only available on the web until users or hosts of the network request each peer, later it leads to a permanent loss of data. We propose an architecture that aims to provide faster retrieval and constant PHR availability using Blockchain and IPFS. The results show that an optimal node is selected in each iteration amongst all the available adjacent nodes.
AbstractList Centralized Personal Health Records (PHR) are mutable with compromised security as it may lead to a single point of failure. Confidentiality, protection and security are the common issues in clinical record frameworks. Specific security and protection schemes are being used to secure clinical records. Accordingly, using the Interplanetary File System (IPFS), a decentralized PHR can be maintained to allow patients to access their records without delay. Moreover, a Kademlia-based distributed hash table provides fault tolerance and enables patients to keep track of their medical history. However, a significant issue in IPFS is data availability. It is only available on the web until users or hosts of the network request each peer, later it leads to a permanent loss of data. We propose an architecture that aims to provide faster retrieval and constant PHR availability using Blockchain and IPFS. The results show that an optimal node is selected in each iteration amongst all the available adjacent nodes.
Author Rizwan, Muhammad
Srivastava, Gautam
Wang, Dong
Gadekallu, Thippa Reddy
Shabbir, Maryam
Asghar, Kalsoom
Javed, Abdul Rehman
Mubashar, Amna
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2022. World Scientific Publishing Company
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Keywords Interplanetary file systems
Internet of Things (IoT)
next generation networks
personal health record
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Snippet Centralized Personal Health Records (PHR) are mutable with compromised security as it may lead to a single point of failure. Confidentiality, protection and...
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SubjectTerms Algorithms
Availability
Cryptography
Fault tolerance
Optimization
Personal health
Security
Title Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-Based Optimization Algorithm
URI http://www.worldscientific.com/doi/abs/10.1142/S0218126622500104
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Volume 31
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