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Authentication in Selected Mobile Data Collection Systems: Current State, Challenges, Solutions and Gaps

机译:选定的移动数据收集系统中的身份验证:现状,挑战,解决方案和差距

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Mobile data collection systems (MDCS) in the health sector are of great benefit to health care providers and community workers especially in low-resource settings. MDCS enable the extension and provision of health services closer to the community by enabling data collection and diagnosis without the patient being in a hospital setting. MDCS, however, face a number security challenges including authentication and authorization of users, secure communication between a mobile client and the server, and secure application deployment. This paper provides a criteria and guidelines for evaluating an authentication model for MDCS. The criteria encompass key authentication dimensions including proper local and remote authentication, password management and recovery especially with no Internet connectivity. We assess the authentication models using two reference systems that are widely used in low-resource settings, namely, District Health Information Software (DHIS 2) and mUzima. The findings reveal gaps in the authentication model of the reference systems including insecure authentication, insecure storage of user credentials on the mobile device and no proper automatic logouts, among others.
机译:卫生部门的移动数据收集系统(MDCS)对医疗保健提供者和社区工作者特别有益,特别是在资源匮乏的环境中。 MDCS通过在无需患者住院的情况下进行数据收集和诊断,从而使医疗服务的扩展和提供更贴近社区。但是,MDCS面临许多安全挑战,包括用户的身份验证和授权,移动客户端与服务器之间的安全通信以及安全的应用程序部署。本文提供了用于评估MDCS身份验证模型的标准和准则。该标准包括密钥身份验证维度,包括适当的本地和远程身份验证,密码管理和恢复(尤其是在没有Internet连接的情况下)。我们使用两个在资源匮乏的环境中广泛使用的参考系统评估身份验证模型,即区域健康信息软件(DHIS 2)和mUzima。这些发现揭示了参考系统的身份验证模型中的缺陷,其中包括不安全的身份验证,用户凭据在移动设备上的不安全存储以及没有适当的自动注销等。

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