新型冠状病毒疫情下基于区块链的安全检查框架

Yuan Zhang
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引用次数: 0

摘要

目前,应对新冠肺炎疫情蔓延的有效途径之一是控制传染源。安检部门作为各地人流的大门,在人群中筛查阳性患者起着至关重要的作用;为解决公信力和人力资源缺乏的问题,本文建立了基于区块链的安全检查框架,并将机器学习与区块链相结合:区块链记录新冠病毒核酸检测的异常结果和安全检查系统检测到的异常情况(如无口罩、高温);利用机器学习实现掩码识别等功能。介绍并讨论了体系结构、数据流和关键元素。研究结果可以解决疫情下的安全问题,为机器学习与区块链的有效结合和应用提供相关启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain-Based Security Check Framework in the State of the COVID-19 Epidemic
At present, one of the effective ways to deal with the widespread of COVID-19 is to control the source of infection. As the gate of population flow in various places, the security inspection department plays a vital role in screening positive patients in the population; To solve the problems of credibility and lack of human resources, this paper establishes a security check framework based on the blockchain and combines machine learning with the blockchain: the blockchain records the abnormal results of COVID-19 nucleic acid detection and the abnormal conditions detected by the security inspection system (such as no mask, high temperature); Use machine learning to realize mask recognition and other functions. The architecture, data flow, and key elements are presented and discussed. The study findings could solve the security problem under the epidemic and provide relevant enlightenment for the effective combination and application of machine learning and blockchain.
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