An Empirical Assessment of Global COVID-19 Contact Tracing Applications

被引：5

作者：

Sun, Ruoxi ^{[1
]}

Wang, Wei ^{[1
]}

Xue, Minhui ^{[1
]}

Tyson, Gareth ^{[2
]}

Camtepe, Seyit ^{[3
]}

Ranasinghe, Damith C. ^{[1
]}

机构：

[1] Univ Adelaide, Adelaide, SA, Australia

[2] Queen Mary Univ London, London, England

[3] CSIRO Data61, Eveleigh, NSW, Australia

来源：

2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2021) | 2021年

关键词：

D O I：

10.1109/ICSE-Companion52605.2021.00074

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This is the artifact accompanying the paper "An Empirical Assessment of Global COVID-19 Contact Tracing Applications", accepted by ICSE 2021. The artifact presents the first automated security and privacy assessment tool that tests contact tracing apps for security weaknesses, malware, embedded trackers and private information leakage. COVIDGUARDIAN outperforms 4 state-of-the-practice industrial and open-source tools. Note that, Although the tool is tailored to focus on contact tracing apps, it can also be adapted to other types of apps with respect to the NLP PII learning context, e.g., by changing the source & sink list or updating the sensitive PII keywords.

引用

页码：173 / 174

页数：2

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