全球社区接触者追踪解决方案

IF 1.5 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Hari T S Narayanan
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引用次数: 3

摘要

自从SARS新冠肺炎爆发以来,有几种接触者追踪解决方案。所有这些解决方案都是本地化的——针对一个国家。这些解决方案支持的应用程序不会相互作用。这些应用程序收集的接近度数据没有标准。一旦国际旅行限制放宽,这将成为一个问题。本文通过解决联系人追踪解决方案的一个关键需求来探讨这个问题。所有当前的解决方案都使用一个标识符,即邻近标识符(PID),该标识符匿名地表示交换的邻近数据中的用户。这些应用程序中使用的PID在结构、管理和属性方面各不相同。本文首先确定了PID的常见期望性质,包括一些不明显的性质,以供其全局应用。这种识别对于设计和开发可以无缝跨边界工作的联系人追踪解决方案至关重要。本文还针对这些特性评估了来自两个不同设计类别的代表性解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contact Tracing Solution for Global Community
There are several Contact Tracing solutions since the outbreak of SARS COVID-19. All these solutions are localized—specific to a country. The Apps supported by these solutions do not interwork with each other. There are no standards to the proximity data collected by these Apps. Once the international travel restrictions are relaxed, this will become an issue. This paper explores this issue, by addressing one of the key requirements of Contact Tracing solutions. All the current solutions use an Identifier, Proximity Identifier (PID), that anonymously represents the user in the proximity data exchanged. The PID used in these applications varies in their structure, management and properties. This paper first identifies the common desirable properties of PID, including some non-obvious ones for its global application. This identification is essential for the design and development of the Contact Tracing solution that can work across boundaries seamlessly. The paper also evaluates representative solutions from two different design classes against these properties.
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来源期刊
Computer Journal
Computer Journal 工程技术-计算机:软件工程
CiteScore
3.60
自引率
7.10%
发文量
164
审稿时长
4.8 months
期刊介绍: The Computer Journal is one of the longest-established journals serving all branches of the academic computer science community. It is currently published in four sections.
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