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Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-Based Optimization Algorithm
Journal of Circuits, Systems and Computers ( IF 0.9 ) Pub Date : 2021-07-15 , DOI: 10.1142/s0218126622500104
Amna Mubashar, Kalsoom Asghar, Abdul Rehman Javed, Muhammad Rizwan, Gautam Srivastava, Thippa Reddy Gadekallu, Dong Wang, Maryam Shabbir

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.

中文翻译:

使用基于 IPFS 的优化算法对集中式个人健康记录进行存储和邻近管理

集中式个人健康记录 (PHR) 是可变的,安全性受损,因为它可能导致单点故障。机密性、保护和安全性是临床记录框架中的常见问题。正在使用特定的安全和保护方案来保护临床记录。因此,使用星际文件系统 (IPFS),可以维护分散的 PHR,以允许患者立即访问他们的记录。此外,基于 Kademlia 的分布式哈希表提供了容错能力,使患者能够跟踪他们的病史。然而,IPFS 中的一个重要问题是数据可用性。它只在网络上可用,直到网络的用户或主机请求每个对等方,之后它会导致数据永久丢失。我们提出了一种架构,旨在使用区块链和 IPFS 提供更快的检索和恒定的 PHR 可用性。结果表明,每次迭代都会在所有可用的相邻节点中选择一个最优节点。
更新日期:2021-07-15
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