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DeepHealth: A Secure Framework to Manage Health Certificates Through Medical IoT, Blockchain and Deep Learning

机译:DeepHealth:通过医疗物联网,区块链和深度学习管理健康证书的安全框架

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In order to flatten the curve and lower human-to-human transmission of COVID-19 pathogen, one of the critical suggestions by health professionals is to monitor COVID-19 virus status of each human dynamically which is not a pragmatic solution unless the COVID-19 positive, negative, or symptomatic subjects are identified and have a secure health certificate generated based on daily health status. In this paper, we have developed a Blockchain and off-chain based secure health status and user biometric storage system. The health status is being visualized through a distributed QR code app. We have also incorporated deep learning-based face recognition and QR code recognition system in which the facial features are mapped to the QR code of a subject. We have developed three distributed apps (dApps): for the citizens, hospital authorities, and COVID-19 status checking entities. The system allows, for example, supermarkets, malls, and airports, to inquire about the health status of any subject through our developed application using already installed cameras. Our system will allow full life-cycle of the health certificate and biometric user management: creation through dApps, secure storage at Blockchain and off-chain, privacy-preserving sharing with the community of interest, and dynamic visualization.
机译:为了使Covid-19病原体的曲线降低,卫生专业人员的一个关键建议是动态监测每个人的Covid-19病毒状态,除非Covid-除非Covid-鉴定了19个阳性,阴性或症状受试者,并根据日常健康状况产生安全的健康证明。在本文中,我们开发了基于区块链和基于脱锁的安全运行状况和用户生物识别存储系统。通过分布式QR码应用程序可视化健康状况。我们还包括基于深度学习的面部识别和QR码识别系统,其中面部特征映射到对象的QR码。我们开发了三个分布式应用程序(DAPPS):公民,医院当局和Covid-19状态检查实体。系统允许例如超市,商场和机场,通过使用已安装的相机通过我们开发的应用程序来咨询任何主题的健康状态。我们的系统将允许健康证明和生物识别用户管理的全部生命周期:通过DAPP创建,在区块链和关断,与感兴趣社区的隐私保留共享,以及动态可视化的安全存储。

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