TWC: Frontier: Collaborative: Enabling Trustworthy Cybersystems for Health and Wellness

随着敏感信息和与健康相关的任务越来越多地被推向移动设备和基于云的服务，这一前沿项目解决了为健康和健康提供值得信赖的信息系统所需的许多基础研究挑战。跨学科研究团队包括来自计算机科学、商业、行为健康、健康政策和医疗保健信息技术的专业知识，以创建可被公民个人信任以保护其隐私、可被健康专业人员信任以确保数据完整性和安全性的健康与健康系统。尽管这些问题是由一个国家重要的应用领域(健康和健康)引发的，但这些解决方案的应用远远超出了该领域。该项目正在开发一种方法，以连续和不引人注目的方式向平板电脑验证临床工作人员的身份，并为患者提供一种可用的方式来控制移动传感器收集的有关他们的信息。目标之一是管理家庭和偏远诊所医疗设备的安全，而不增加房主或临床工作人员的负担；为此，调查人员正在开发方法来验证向远程设备发布的医疗指令。正在研究的一种方法是将对医疗记录的访问从移动设备中分离出来，以限制信息暴露，并开发方法来审计这个由设备和系统组成的复杂生态系统的行为。研究人员将设计工具来处理云中的基因组数据，同时使患者能够控制信息，通过电力分析检测医疗设备中的恶意软件，并向使用现场收集的健康数据的人提供上下文信息。

This frontier project tackles many of the fundamental research challenges necessary to provide trustworthy information systems for health and wellness, as sensitive information and health-related tasks are increasingly pushed into mobile devices and cloud-based services. The interdisciplinary research team includes expertise from computer science, business, behavioral health, health policy, and healthcare information technology to enable the creation of health & wellness systems that can be trusted by individual citizens to protect their privacy and can be trusted by health professionals to ensure data integrity and security. Although these problems are motivated by a nationally important application domain (health and wellness), the solutions have applications far beyond that domain. This project is developing methods to authenticate clinical staff to tablet computers in a continuous and unobtrusive way, and to provide patients a usable way to control the information that mobile sensors collect about them. One of the goals is to manage security of healthcare devices in the home and in remote clinics, without adding burden on the homeowner or clinical staff; towards this end the investigators are developing methods to verify medical directives issued to remote devices. One approach being investigated is segmenting access to medical records from mobile devices to limit information exposure, and developing methods to audit behavior of this complex ecosystem of devices and systems. The investigators will design tools to handle genomic data in the cloud while enabling patient control over information, detect malware in medical devices through power analysis, and provide contextual information to those who use health data collected in the field.