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.

移动的健康（mHealth），特别是移动的健康监测，已被认为是最具活力的移动的应用程序，在医疗保健行业的革命和稳步提高个人生活质量方面发挥着至关重要的作用。不幸的是，由于mHealth监控服务处理的健康和健身相关数据的敏感性和私密性，隐私问题成为广泛部署的绊脚石，必须得到解决。由于资本投资有限，中小型移动医疗公司可能不得不寻求云计算设施，以降低IT支持成本。然而，外包到云将加剧隐私问题，因为公司的监控程序也是专有信息。该项目的重点是设计一个名为CAM的架构框架：一个云辅助的移动健康监测系统，将其开发成一个中间件，并将昂贵的计算外包给云。在高层次上，拟议的研究是开发一种使能技术，以广泛采用移动健康监测服务。特别是，安全框架旨在保护用户健康和健身数据以及公司监控程序的隐私，同时仍然允许云正确执行程序并向用户返回适当的建议。该设计考虑了外包模式，将大多数计算密集型任务转移到云端，同时仍然保留隐私，这是生产实际可部署系统的关键。该框架，然后开发成一个中间件，通过解决实际问题，如合适的编程模型，平衡之间的安全保证和灵活性的应用程序开发人员等全面的渗透测试进行模拟独特的攻击，以评估所提出的框架在实际系统设置的安全性。虽然出于移动健康监控应用程序，建议的安全框架可以推广到隐私保护外包的诊断程序，有许多其他重要的应用，如财务分析和软件故障诊断。因此，拟议的研究将通过促进多学科，并为研究生和本科生提供多学科研究的丰富机会，产生更广泛的影响。