ICE-T: RI: Towards a Secure and Flexible Personal Data Platform on the Edge

ICE-T：RI：迈向安全、灵活的边缘个人数据平台

• 批准号: 1836870
• 负责人: Tamer Nadeem
• 金额: $ 10万
• 依托单位: Virginia Commonwealth University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836870&HistoricalAwards=false
• 关键词: ICE; RI; Towards; Secure; Flexible

The significant growth and penetration of smart and Internet of Things (IoT) devices has driven a large number of new applications and caused a surge in sensitive and personal data generation. Unfortunately, our ability to protect that information is limited, and concerns over privacy, trust, and security are becoming increasingly important to different stakeholders. Emerging IoT applications also send and receive data in various ways, and each might require different performance levels of reliability, loss, and latency. To cope with these various traffic characteristics and requirements, it is now necessary to have greater visibility and control over the traffic generated from smart and IoT devices in order to guarantee a high quality of experience to users.The aim of this project is to design and develop the ExtremeDataHub platform, an open, flexible, and programmable networked edge device that controls and manages access to our sensitive and personal data. This platform will integrate the European collaborators' SMILE and Databox platforms. The project will identify new services and applications that can effectively leverage the combined platform, potentially including applications in the smart home, smart healthcare, and smart cities domains. This project initiates a new research collaboration between investigators at Virginia Commonwealth University and Imperial College London, UK.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

智能和物联网（IoT）设备的显著增长和渗透推动了大量新应用，并导致敏感和个人数据生成激增。不幸的是，我们保护这些信息的能力是有限的，对隐私、信任和安全的担忧对不同的利益相关者来说变得越来越重要。 新兴的物联网应用程序也以各种方式发送和接收数据，每种应用程序可能需要不同的可靠性，丢失和延迟性能水平。为了科普这些不同的流量特征和需求，现在有必要对智能和物联网设备产生的流量进行更大的可见性和控制，以确保用户获得高质量的体验。该项目的目的是设计和开发ExtremeDataHub平台，这是一个开放、灵活和可编程的网络边缘设备，可以控制和管理对我们敏感和个人数据的访问。该平台将整合欧洲合作者的SMILE和数据盒平台。 该项目将确定可以有效利用组合平台的新服务和应用程序，可能包括智能家居，智能医疗保健和智能城市领域的应用程序。该项目启动了弗吉尼亚联邦大学和英国伦敦帝国理工学院研究人员之间的新研究合作。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。