CSR: Small: Collaborative Research: CAM: A Cloud-Assisted mHealth Monitoring System

CSR：小型：协作研究：CAM：云辅助移动健康监测系统

• 批准号: 1422665
• 负责人: Jinyuan Stella Sun
• 金额: $ 20万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1422665&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; CAM

Mobile Health (mHealth), particularly mobile healthcare monitoring, has been perceived to be the most dynamic mobile apps which play a crucial role in revolutionizing healthcare industries and steadily improving the quality of individuals' lives. Unfortunately, due to the sensitive and private nature of the health and fitness related data handled by mHealth monitoring services, privacy issues become the stumbling blocks to wide deployment and must be addressed. With limited capital investments, small to medium sized mHealth companies may have to seek cloud computing facilities to reduce the cost on IT support. However, outsourcing to the cloud will aggravate the privacy issues since companies' monitoring programs are also proprietary information. This project focuses on designing an architectural framework, called CAM: a cloud-assisted mHealth monitoring system, developing it into a middleware, and outsourcing expensive computations to the cloud. At a high level, the proposed research is to develop an enabling technology for the potentially wide adoption of mHealth monitoring services. In particular, a security framework is designed to preserve the privacy of users' health and fitness data and companies' monitoring programs while still allowing the cloud to correctly execute the programs and return proper advices to users. The design takes the outsourcing paradigm into account by shifting most computationally intensive tasks to the cloud while still preserving privacy, which is the key to producing a practically deployable system. The framework is then developed into a middleware by tackling practical issues such as a suitable programming model, balancing between security guarantees and flexibility for app developers, etc. Comprehensive penetration testing is conducted by simulating unique attacks to evaluate the security of the proposed framework in practical system settings. Although motivated by mHealth monitoring applications, the proposed security framework can be generalized for privacy-preserving outsourcing of diagnostic programs which have many other important applications such as financial analysis and software fault diagnosis. The proposed research will thus have broader impact by contributing to multiple disciplines and offering both graduate and undergraduate students plentiful opportunities for multidisciplinary research.

移动健康（MHealth），尤其是移动医疗保健监控，被认为是最具动态的移动应用程序，在革新医疗保健行业并稳步改善个人生活质量方面起着至关重要的作用。不幸的是，由于MHealth监测服务处理健康和健身与健康与健身相关的数据的敏感和私人性质，因此隐私问题成为了广泛部署的绊脚石，必须解决。由于资本投资有限，中小型MHealth公司可能必须寻求云计算设施以降低IT支持的成本。但是，由于公司的监视计划也是专有信息，因此将其外包给云将加剧隐私问题。该项目着重于设计一个称为CAM的体系结构框架：云辅助的MHealth监视系统，将其开发到中间件中，并将昂贵的计算外包给云。在高水平上，拟议的研究是为可能广泛采用MHealth监测服务开发一种促成技术。特别是，安全框架旨在保留用户健康和健身数据和公司监视程序的隐私，同时仍允许云正确执行程序并将适当的建议返回给用户。该设计通过将大多数计算密集型任务转移到云的同时，同时仍保留隐私，这是生产实际可部署系统的关键，从而考虑了外包范式。然后，通过解决合适的编程模型，安全保证之间的平衡和应用程序开发人员的灵活性等实用问题，将该框架发展为中间件。进行全面的渗透测试是通过模拟独特的攻击来评估实际系统设置中提出框架的安全性的。尽管由MHealth监视应用程序激励，但可以推广提出的安全框架以保护诊断程序的隐私外包，这些程序具有许多其他重要应用程序，例如财务分析和软件故障诊断。因此，拟议的研究将通过为多个学科做出贡献，并为研究生和本科生提供多学科研究的机会，从而产生更大的影响。