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An Empirical Assessment of Global COVID-19 Contact Tracing Applications

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  • معلومة اضافية
    • Publisher Information:
      2020-06-18 2021-01-22
    • نبذة مختصرة :
      The rapid spread of COVID-19 has made manual contact tracing difficult. Thus, various public health authorities have experimented with automatic contact tracing using mobile applications (or "apps"). These apps, however, have raised security and privacy concerns. In this paper, we propose an automated security and privacy assessment tool, COVIDGUARDIAN, which combines identification and analysis of Personal Identification Information (PII), static program analysis and data flow analysis, to determine security and privacy weaknesses. Furthermore, in light of our findings, we undertake a user study to investigate concerns regarding contact tracing apps. We hope that COVIDGUARDIAN, and the issues raised through responsible disclosure to vendors, can contribute to the safe deployment of mobile contact tracing. As part of this, we offer concrete guidelines, and highlight gaps between user requirements and app performance.
    • الموضوع:
      Computer Science - Cryptography and Security; Computer Science - Software Engineering; text
    • Availability:
      Open access content. Open access content
    • Other Numbers:
      COO oai:arXiv.org:2006.10933
      In proceedings of the 43rd International Conference on Software Engineering (ICSE 2021)
      1228415364
    • Contributing Source:
      CORNELL UNIV
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1228415364
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