CC* Integration-Large: mGuard: A Secure Real-time Data Distribution System with Fine-Grained Access Control for mHealth Research

CC* 大型集成：mGuard：一种安全的实时数据分发系统，具有用于移动医疗研究的细粒度访问控制

基本信息

批准号：
2019085
负责人：
Santosh Kumar
金额：
$ 82.5万
依托单位：
University of Memphis
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019085&HistoricalAwards=false
关键词：
CC Integration Large mGuard Secure

项目摘要

The mGuard project aims to address two major data access challenges in sharing mobile health (mHealth) data among researchers who investigate a wide range of health and wellness issues: (1) because wearable sensor data may expose privacy-sensitive information about a user, they should be accessed only by authorized users; currently this access control is largely handled manually, incurring high overhead and subject to human errors; and (2) to enable real-time intervention for certain medical conditions, researchers need to retrieve and process the sensor data in real-time, which is not supported at this time.mGuard tackles the above challenges by utilizing the results from the NSF-supported Named Data Networking (NDN) initiative, in particular the solutions that automate the cryptographic key management for data access control (name-based access control, or NAC) and the solutions that enable real-time synchronization among distributed datasets (NDN Sync). First, mGuard utilizes and extends NDN NAC to automate fine-grained access control of confidential data to authorized researchers. Second, it utilizes NDN Sync to provide real-time data production notification; based on this, it enables applications to publish and subscribe to data in real time by directly using MD2K data names. These new capabilities will be deployed in the MD2K cyberinfrastructure. This effort enables the Mobile Sensor Data-to-Knowledge (MD2K) Center (supported by the National Institute of Health) to share its data securely and in real time with a large number of mHealth researchers. The transformative potential of mGuard thus extends across many types of digital interventions and many health domains. mGuard also encourages researchers in other areas of data-intensive applications to explore NDN’s data-centric solutions. To train the next generation, mGuard is creating undergraduate and graduate education materials including concrete examples and hands-on exercises, as well as training and outreach activities through online seminars, conference tutorials, mHealth training institute, and summer camps. The mGuard project website is https://mguard.md2k.org. Published papers are maintained through the mGuard website, NDN website (https://named-data.net/), MD2K website (https://md2k.org), and publishers’ websites. All of the software produced by the project is maintained in the NDN GitHub (https://github.com/named-data) and mHealthHUB (https://mhealth.md2k.org/). Curriculum materials, program documentations, and user manuals are maintained on the mGuard project website. The trace data, simulation code, and evaluation results will be maintained on mGuard internal servers for a period of at least 10 years. Investigators will archive data, samples, and other research products, and preserve access to them at least five years beyond the project’s end date, subject to resource availability.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.

MGUARD项目旨在解决研究人员共享移动健康（MHealth）数据的两个主要数据访问挑战，这些研究人员研究了广泛的健康和健康问题：（1）因为可穿戴的传感器数据可能会暴露有关用户的隐私信息，因此仅应由授权用户访问它们；目前，这种访问控制在很大程度上是手动处理的，会产生高高的头顶并遭受人为错误。 and (2) to enable real-time intervention for certain medical conditions, researchers need to retrieve and process the sensor data in real-time, which is not supported at this time.mGuard tackles the above challenges by utilizing the results from the NSF-supported Named Data Networking (NDN) initiative, in particular the solutions that automate the cryptographic key management for data access control (name-based access control, or NAC) and the solutions that enable real-time分布式数据集（NDN）同步之间的同步。首先，Mguard利用并扩展了NDN NAC，将机密数据的细粒度访问控制自动化到授权的研究人员。其次，它利用NDN Sync提供实时数据生产通知；基于此，它使应用程序可以直接使用MD2K数据名称实时发布和订阅数据。这些新功能将部署在MD2K CyberinFradstructure中。这项工作使移动传感器数据对知识（MD2K）中心（由美国国家卫生研究院支持）可以与大量MHealth研究人员进行安全和实时共享其数据。因此，Mguard的变革潜力扩展了许多类型的数字干预措施和许多健康领域。 Mguard还鼓励其他数据密集型应用程序中的研究人员探索NDN的以数据为中心的解决方案。为了培训下一代，Mguard正在创建本科和研究生教育材料，包括具体的例子和动手练习，以及通过在线准则，会议教程，MHealth培训学院和夏令营的培训和外展活动。 Mguard Project网站是https://mguard.md2k.org。发布的论文通过MGUARD网站，NDN网站（https://named-data.net/），MD2K网站（https://md2k.org）和发布者的网站维护。该项目生产的所有软件均维护在NDN GitHub（https://github.com/named-data）和MHealthHub（https://mhealth.md2k.org/）中。 Mguard Project网站上维护了课程材料，程序文档和用户手册。痕量数据，仿真代码和评估结果将在Mguard内部服务器上保持至少10年。调查人员将归档数据，样本和其他研究产品，并在资源可用性的情况下保护他们至少超出项目结束日期的五年。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的评估来通过评估来获得的支持。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

SoK: The evolution of distributed dataset synchronization solutions in NDN

SoK：NDN 中分布式数据集同步解决方案的演变

DOI：
10.1145/3517212.3558092
发表时间：
2022
期刊：
ICN '22: Proceedings of the 9th ACM Conference on Information-Centric Networking
影响因子：
0
作者：
Moll, Philipp;Patil, Varun;Wang, Lan;Zhang, Lixia
通讯作者：
Zhang, Lixia

Building a secure mHealth data sharing infrastructure over NDN

通过 NDN 构建安全的移动医疗数据共享基础设施

DOI：
10.1145/3517212.3558091
发表时间：
2022
期刊：
ICN '22: Proceedings of the 9th ACM Conference on Information-Centric Networking
影响因子：
0
作者：
Dulal, Saurab;Ali, Nasir;Thieme, Adam Robert;Yu, Tianyuan;Liu, Siqi;Regmi, Suravi;Zhang, Lixia;Wang, Lan
通讯作者：
Wang, Lan

CertRevoke: a certificate revocation framework for named data networking