全球COVID-19接触者追踪应用的实证评估

Ruoxi Sun, Wen Wang, Minhui Xue, Gareth Tyson, S. Çamtepe, D. Ranasinghe
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引用次数: 4

摘要

这是ICSE 2021接受的论文“全球COVID-19接触者追踪应用的实证评估”所附带的人工制品。该工件提供了第一个自动化安全和隐私评估工具,可以测试联系人跟踪应用程序的安全漏洞、恶意软件、嵌入式跟踪器和私人信息泄露。covid - guardian优于4种最先进的工业和开源工具。请注意,尽管该工具是针对接触追踪应用程序量身定制的,但它也可以适用于其他类型的应用程序,例如,通过更改源和接收列表或更新敏感的PII关键字。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Empirical Assessment of Global COVID-19 Contact Tracing Applications
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.
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