An Empirical Assessment of Global COVID-19 Contact Tracing Applications
IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
; : 173-174, 2021.
Article
in English
| Web of Science | ID: covidwho-1486456
ABSTRACT
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.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
ACM 43rd International Conference on Software Engineering (ICSE)
Year:
2021
Document Type:
Article
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