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arXiv 2004.06081cs.CR
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COVID-19区块链框架:创新方法

COVID-19 Blockchain Framework: Innovative Approach

Mohamed Torky, Aboul Ella Hassanien

摘要:

目前,世界正在目睹新出现的SARS-CoV-2(COVID-19冠状病毒的病原体)流行病的危险转变。世界卫生组织(世卫组织)报告的关于这一流行病的感染和死亡人数预测了对人民生命和国家经济的日益增长的威胁。大多数政府目前面临的最大挑战是缺乏精确的机制来检测未知的感染病例和预测COVID-19病毒的感染风险。为了应对这一挑战,本研究提出了一种新颖的创新方法,以缓解(COVID-19)冠状病毒传播和传染的巨大挑战。该研究提出了一个基于区块链的框架,该框架研究了利用区块链的点对点,时间戳和分散存储优势来构建新系统的可能性,用于验证和检测未知的COVID-19病毒感染病例。此外,拟议框架将使市民能够通过新颖的P2P移动应用程序设计预测人群或公共场所内的COVID-19病毒感染风险。预计所提出的方法将产生一个有效的系统,能够支持政府,卫生当局和公民采取关键的决定,感染检测,感染预测和感染避免。该框架目前正在开发和实施,作为一个新系统,由四个组件组成,感染验证子系统,区块链平台,P2P移动应用程序和大规模监控系统。这四个组成部分共同工作,以检测未知的感染病例,并预测和估计冠状病毒(COVID-19)的感染风险。

英文摘要:

The world is currently witnessing dangerous shifts in the epidemic of emerging SARS-CoV-2, the causative agent of (COVID-19) coronavirus. The infection, and death numbers reported by World Health Organization (WHO) about this epidemic forecasts an increasing threats to the lives of people and the economics of countries. The greatest challenge that most governments are currently suffering from is the lack of a precise mechanism to detect unknown infected cases and predict the infection risk of COVID-19 virus. In response to mitigate this challenge, this study proposes a novel innovative approach for mitigating big challenges of (COVID-19) coronavirus propagation and contagion. This study propose a blockchain-based framework which investigate the possibility of utilizing peer-to peer, time stamping, and decentralized storage advantages of blockchain to build a new system for verifying and detecting the unknown infected cases of COVID-19 virus. Moreover, the proposed framework will enable the citizens to predict the infection risk of COVID-19 virus within conglomerates of people or within public places through a novel design of P2P-Mobile Application. The proposed approach is forecasted to produce an effective system able to support governments, health authorities, and citizens to take critical decision regarding the infection detection, infection prediction, and infection avoidance. The framework is currently being developed and implemented as a new system consists of four components, Infection Verifier Subsystem, Blockchain platform, P2P-Mobile Application, and Mass-Surveillance System. This four components work together for detecting the unknown infected cases and predicting and estimating the infection Risk of Corona Virus (COVID-19).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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