[论文解读] COVID-19 Blockchain Framework: Innovative Approach

Mohamed Torky, Aboul Ella Hassanien|arXiv (Cornell University)|Apr 5, 2020

Blockchain Technology Applications and Security参考文献 12被引用 54

一句话总结

本文提出一个基于区块链的框架，用于检测未知的COVID-19病例并预测感染风险，集成Infection Verifier、Blockchain platform、一个P2P移动应用和Mass-Surveillance系统，目前正在开发中。

ABSTRACT

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).

研究动机与目标

• Motivate and address the need for precise mechanisms to detect unknown COVID-19 infections and assess infection risk in populations.
• Propose a novel blockchain-based framework leveraging peer-to-peer, timestamping, and decentralized storage to verify and detect unknown cases.
• Design a system that enables governments, health authorities, and citizens to make informed decisions on infection detection, prediction, and avoidance.
• Outline the four-component architecture and its intended interactions to mitigate COVID-19 spread.

提出的方法

• Propose a four-component framework consisting of Infection Verifier Subsystem, Blockchain platform, P2P-Mobile Application, and Mass-Surveillance System.
• Leverage blockchain features such as peer-to-peer networking, time-stamping, and decentralized storage to support verification and detection tasks.
• Describe the integration and envisioned workflow among components to detect unknown infections and estimate infection risk.
• Suggest a development and implementation path for the proposed system.

实验结果

研究问题

• RQ1 How can a blockchain-based framework verify and detect unknown COVID-19 infections?
• RQ2 How can a P2P-Mobile Application contribute to infection risk prediction in public settings?
• RQ3 What is the envisioned interaction among Infection Verifier, Blockchain platform, P2P-Mobile App, and Mass-Surveillance System to support decision making?
• RQ4 What role can such a framework play for governments, health authorities, and citizens in infection detection and avoidance?

主要发现

• The authors propose a novel framework intended to mitigate COVID-19 propagation using blockchain-based verification and detection.
• The framework comprises four components designed to work together for infection detection and risk estimation.
• The paper describes the design and development status of the system, which is being implemented as a new platform.