遭遇指标和曝光通知
René Peralta1, Angela Robinson1
1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
概括
我们引入了接触指标,用于测量人口层面的互动,同时保持个人隐私. 这使得保护隐私的暴露通知系统成为可能,例如工作场所COVID-19风险评估系统.
科学领域:
- 计算机科学 计算机科学
- 公共卫生 公共卫生
- 密码学 密码学 密码学 密码学
背景情况:
- 测量人口层面的接触对公共卫生至关重要.
- 现有的方法可能会损害个人的隐私.
- 联系人追踪和风险评估需要维护隐私的技术.
研究的目的:
- 引入和定义"遭遇指标"用于总体人口互动测量.
- 提出一种保护隐私的曝光通知方法.
- 为工作环境概述一个特定的系统,如NIST.
主要方法:
- 开发"遭遇指标",使用随机的,不链接的标签对遭遇.
- 设计一个保护隐私的曝光通知系统.
- 设计针对特定环境的有针对性的系统,比如工作场所.
主要成果:
- 遭遇指标允许在不影响个人隐私的情况下对遭遇进行总体测量.
- 拟议的系统使个人能够评估他们因潜在接触SARS-CoV-19而面临的风险.
- 概述了特定于工作场所的暴露通知系统的框架.
结论:
- 遭遇指标为保护隐私的人口互动分析提供了可行的解决方案.
- 保护隐私的曝光通知系统可以在各种环境中有效实施.
- 该研究为开发安全和实用的公共卫生工具提供了基础.
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