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推送到移动设备和基于云的服务中，这个前沿项目解决了许多必要的基础研究挑战，为健康和保健提供值得信赖的信息系统。跨学科的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，使健康和健康系统的创建能够被公民个人信任，以保护他们的隐私，并且可以被健康专业人员信任，以确保数据的完整性和安全性。尽管这些问题是由国家重要的应用领域（健康和保健）引起的，但解决方案的应用范围远远超出了该领域。该项目正在开发一种方法，以一种连续且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法来控制移动传感器收集的关于他们的信息。目标之一是管理家庭和远程诊所医疗设备的安全，同时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，以核实向远程设备发出的医疗指令。正在研究的一种方法是对移动设备的医疗记录进行分段访问，以限制信息暴露，并开发方法来审计这一复杂的设备和系统生态系统的行为。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，通过功率分析检测医疗设备中的恶意软件，并为使用现场收集的健康数据的人员提供上下文信息。

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.