数字平台上隐私保护-联系追踪的比较研究

Forum Bhavesh Patel, Nilakshi Jain, Ramesh Menon, Srikanth Kodeboyina
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引用次数: 3

摘要

数字基础设施的快速发展,如计算能力和更便宜的移动设备,以及互联网的爆炸式增长,对数字处理产生了影响。这场革命带来了许多新的应用程序和新技术,现在的目标是用维护用户隐私的新方法取代人工接触追踪的有效性和效率。成功控制冠状病毒大流行(COVID-19)取决于能否快速、可靠地识别那些与传染性检测呈阳性的人有过密切接触的人。这可以通过接触追踪方法实现。两个用户之间发生的交互信息应该只向他们自己透露,以维护个人隐私。被检测为阳性的用户不应该与当局或任何其他方分享任何联系方式或个人信息或历史,而是通过匿名id并帮助追踪联系的人。本文介绍了目前最流行的接触追踪数据保密技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Study of Privacy Preserving-Contact Tracing on Digital Platforms
The rapid development in digital infrastructure such as computing power and less expensive mobile devices and explosive growth of the internet has made an impact on digital processing. This revolution has bought many new applications and new technologies, now aiming at replacement with improving effectiveness and efficiency of manual contact tracing with new approaches with maintaining user privacy. The successful containment of the Coronavirus pandemic (COVID-19) depends on the ability to identify quickly and reliably those who have been in close proximity to a contagious positive-tested individual. This can be made possible with contact tracing method. The information about interaction which happens between two users should be revealed only to themselves to maintain privacy of individuals. Users which are detected positive should not share any of their contact details or personal information or history with the authority or any other party but pass the anonymous IDs and help in tracing out the contacted people. This paper presents the most popular contact tracing data privacy techniques.
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