移动医疗系统中的系统化信息流控制

Chandrika Bhardwaj
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引用次数: 3

摘要

本文认为移动医疗系统的安全性和完整性要求最好通过端到端信息流控制(IFC)来解决。本文将分散式IFC的建议扩展到基于智能手机的分布式移动医疗系统,确定了基本的威胁模型和必要的可信计算基础。我们展示了如何将提出的框架集成到传感器方阵和Android智能手机之间的现有通信堆栈中。该框架的中心思想涉及系统地、自动地用安全和完整性标签标记医疗接触期间收集的数据和元数据。所提供的这些机制可用于在不同的应用程序中执行各种复杂的信息流控制策略。与现有DIFC方法相比,主要的新颖之处在于,用户不必为系统中收集的每一类数据和元数据创建标记,从而使其用户友好且可扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic information flow control in mHealth systems
This paper argues that the security and integrity requirements of mHealth systems are best addressed by end-to-end information flow control (IFC). The paper extends proposals of decentralized IFC to a distributed smartphone-based mHealth system, identifying the basic threat model and the necessary trusted computing base. We show how the framework proposed can be integrated into an existing communication stack between a phalanx of sensors and an Android smartphone. The central idea of the framework involves systematically and automatically labelling data and metadata collected during medical encounters with security and integrity tags. These mechanisms provided can then be used for enforcing a wide variety of complex information flow control policies in diverse applications. The chief novelty over existing DIFC approaches is that users are relieved of having to create tags for each class of data and metadata that is collected in the system, thus making it user-friendly and scalable.
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