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一种基于IOTA缠结的CoviReader架构,用于在新冠疫情期间的智慧城市疫情防控。

A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic.

作者信息

Alhavan Maryam, Azimi Ali, Manuel Corchado Juan

机构信息

Knowledge & Information Studies Department, Kharazmi University, Tehran, Iran.

Computing and Control Department, University of Salamanca, Salamanca, Spain.

出版信息

Med J Islam Repub Iran. 2022 Dec 28;36:180. doi: 10.47176/mjiri.36.180. eCollection 2022.

DOI:10.47176/mjiri.36.180
PMID:36908933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9997415/
Abstract

Reportedly, many of the data collected for detecting infected people are being used for other than healthcare purposes. On the other hand, fabricated digital COVID-19 test results will pose a danger to vulnerable people and to public health. This paper presents a CoviReader architecture designed for a smart city health information management system to manage outbreak of COVID-19 pandemic while protecting citizens' privacy and tamper-proofing their health status data. We used IOTA as an infrastructure for data management. We introduced two plans: "Transaction Plan", handling daily interactions of citizens in a smart city and "Big Data Plan", providing the COVID-19 crisis headquarters with the aggregated data for curbing the pandemic. Through the proposed CoviReader architecture people's using IOTA tangle, people's health status data are readily available to the crisis headquarters and verification of the validity of the final file against data manipulation will also be possible by comparing the hash of the consolidated received file with the original hash of the file registered in the IOTA Tangle. Reported plans were capable of handling tamper proofed data delivery. The proposed CoviReader architecture ensures the availability and at the same time constrains manipulation of data. The provided solution aids healthcare providers to control pandemic and at the same time to preserve commuting people's data for any unintended or illegal identity disclosure.

摘要

据报道,许多为检测感染者而收集的数据正被用于医疗保健目的之外的其他用途。另一方面,伪造的数字新冠病毒检测结果将对弱势群体和公众健康构成威胁。本文提出了一种CoviReader架构,专为智慧城市健康信息管理系统设计,用于管理新冠疫情爆发,同时保护公民隐私并确保其健康状况数据防篡改。我们使用IOTA作为数据管理的基础设施。我们引入了两个计划:“交易计划”,处理智慧城市中公民的日常互动;“大数据计划”,为新冠危机总部提供汇总数据以遏制疫情。通过所提出的CoviReader架构,人们使用IOTA缠结,危机总部可以随时获取人们的健康状况数据,并且通过将合并接收文件的哈希与IOTA缠结中注册文件的原始哈希进行比较,还可以验证最终文件是否被数据操纵。报告的计划能够处理防篡改的数据传输。所提出的CoviReader架构确保了数据的可用性,同时限制了数据的操纵。所提供的解决方案有助于医疗保健提供者控制疫情,同时保护通勤者的数据不被意外或非法泄露身份。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/27f87ff147d7/mjiri-36-180-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/ea5ab837bcad/mjiri-36-180-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/4e45412077a2/mjiri-36-180-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/a810df75ec56/mjiri-36-180-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/27f87ff147d7/mjiri-36-180-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/ea5ab837bcad/mjiri-36-180-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/4e45412077a2/mjiri-36-180-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/a810df75ec56/mjiri-36-180-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ac/9997415/27f87ff147d7/mjiri-36-180-g008.jpg

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