Title
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
Abstract
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.
Year
DOI
Venue
2021
10.1007/978-3-030-73216-5_26
DASFAA
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Zhe Peng1518.32
Jinbin Huang200.34
Haixin Wang362.51
Shihao Wang46213.33
Xiaowen Chu51273101.81
Xinzhi Zhang693.19
Li Chen79419.59
Xin Huang83414.22
Fu Xiaoyi921.76
Yike Guo101319165.32
Xin Huang1137929.42