A secure framework for IoT‐based healthcare using blockchain and IPFS

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Deepa Rani, Rajeev Kumar, Naveen Chauhan
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引用次数: 0

Abstract

Abstract Smart healthcare, also known as IoT (Internet of Things) based healthcare, utilizes IoT technology to enhance the healthcare industry. The use of IoT‐enabled medical equipment enables remote monitoring of patients, allowing for in‐home care and alerting healthcare providers of any changes. This can lead to improved patient outcomes and better disease management. However, it is important to implement robust security measures to protect patient data when using IoT in healthcare. One potential solution is to use blockchain technology to secure data storage and sharing with medical providers. Blockchain's decentralized structure and cryptographic techniques make it difficult for hackers to access or tamper with patient information. Additionally, IPFS (InterPlanetary file system) can be used for efficient data storage and sharing with authorized medical professionals, while smart contract functionality can automate the process of granting and revoking access to patient data. This article proposes a blockchain‐based secure remote patient monitoring system, specifically for chronic disease patients. The system utilizes distributed blockchain for data security, IPFS for data storage and sharing, and DApp for data collection and connection to the blockchain, along with encryption for added security. The proposed approach is compared to existing solutions and found to be a superior option for IoT‐based healthcare.
使用区块链和IPFS的基于物联网的医疗保健安全框架
智能医疗,也被称为基于物联网(IoT)的医疗保健,利用物联网技术增强医疗保健行业。使用支持物联网的医疗设备可以远程监控患者,实现家庭护理,并提醒医疗保健提供者任何变化。这可以改善患者的治疗效果,改善疾病管理。然而,在医疗保健中使用物联网时,实施强大的安全措施来保护患者数据非常重要。一个潜在的解决方案是使用区块链技术来保护数据存储和与医疗提供商共享。b区块链的分散结构和加密技术使黑客难以访问或篡改患者信息。此外,IPFS(星际文件系统)可用于有效的数据存储和与授权的医疗专业人员共享,而智能合约功能可以自动授予和撤销对患者数据的访问权限。本文提出了一种基于区块链的安全远程患者监护系统,专门用于慢性病患者。该系统利用分布式区块链实现数据安全,利用IPFS实现数据存储和共享,利用DApp实现数据收集和连接区块链,并采用加密技术提高安全性。将提出的方法与现有解决方案进行比较,发现这是基于物联网的医疗保健的优越选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
5.30%
发文量
80
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