Privacy Guarantees of Bluetooth Low Energy Contact Tracing: A Case Study on COVIDWISE

被引：3

作者：

Ahmed, Salman ^{[1
]}

Xiao, Ya ^{[2
]}

Chung, Taejoong ^{[2
]}

Fung, Carol ^{[3
]}

Yung, Moti ^{[4
,5
]}

Yao, Danfeng ^{[6
]}

机构：

[1] IBM Res, Yorktown Hts, NY 10598 USA

[2] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA

[3] Virginia Commonwealth Univ, Richmond, VA 23284 USA

[4] Google LLC, Mountain View, CA USA

[5] Columbia Univ, Dept Comp Sci, New York, NY 10027 USA

[6] Virginia Tech, Blacksburg, VA 24061 USA

来源：

COMPUTER | 2022年 / 55卷 / 02期

关键词：

723.4 Artificial Intelligence;

D O I：

10.1109/MC.2021.3125611

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We examine the security, privacy, and reliability of Google and Apple's COVID-19 exposure notification technology, using actual case studies and realistic use cases. Our analysis validates the system, providing piece of mind for adopters of contact tracing and potentially boosting transparency.

引用

页码：54 / 62

页数：9

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