BU-Trace：一种用于隐私保护的智能联系人追踪的非许可移动系统
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
摘要：
2019冠状病毒病（COVID-19）大流行为全球带来前所未有的健康危机。数字接触者追踪作为一种传播干预措施，在大流行控制方面已显示出其有效性。尽管对数字联系人追踪进行了深入的研究，但现有的解决方案很难满足用户对隐私和便利性的要求。在本文中，我们提出了BU-Trace，一种新的免许可移动系统的隐私保护智能接触跟踪QR码和NFC技术的基础上。首先，用户研究进行调查和量化的移动接触追踪系统的用户接受。其次，提出了一种分散的系统，以在保护用户隐私的同时实现联系人跟踪。第三，智能行为检测算法的设计，以方便我们的系统的使用。我们实现BU跟踪，并在几个现实世界的场景进行了广泛的实验。实验结果表明，BU-Trace实现了一个隐私保护和智能移动系统的联系人跟踪，而无需请求位置或其他隐私相关的权限。
英文摘要：
The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented health crisis for the global. Digital contact tracing, as a transmission intervention measure, has shown its effectiveness on pandemic control. Despite intensive research on digital contact tracing, existing solutions can hardly meet users' requirements on privacy and convenience. In this paper, we propose BU-Trace, a novel permissionless mobile system for privacy-preserving intelligent contact tracing based on QR code and NFC technologies. First, a user study is conducted to investigate and quantify the user acceptance of a mobile contact tracing system. Second, a decentralized system is proposed to enable contact tracing while protecting user privacy. Third, an intelligent behavior detection algorithm is designed to ease the use of our system. We implement BU-Trace and conduct extensive experiments in several real-world scenarios. The experimental results show that BU-Trace achieves a privacy-preserving and intelligent mobile system for contact tracing without requesting location or other privacy-related permissions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
