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

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
批准号:
2019085
负责人:
Santosh Kumar
金额:
$82.5万
依托单位:
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
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30

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中文摘要
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英文摘要
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.
期刊论文(5)
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会议论文
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: --
作者: [Moll, Philipp, Patil, Varun, Wang, Lan, Zhang, Lixia]
通讯作者: Zhang, Lixia
DOI: 10.1145/3517212.3558079
发表时间: 2022-09
期刊: Proceedings of the 9th ACM Conference on Information-Centric Networking
影响因子: --
作者: [Tianyuan Yu;Hongcheng Xie;Siqi Liu;Xinyv Ma;X. Jia;Lixia Zhang]
通讯作者: Tianyuan Yu;Hongcheng Xie;Siqi Liu;Xinyv Ma;X. Jia;Lixia Zhang
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: --
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
NDNSD: Service Publishing and Discovery in NDN
NDNSD:NDN 中的服务发布和发现
DOI: 10.1109/milcom55135.2022.10017932
发表时间: 2022
期刊: IEEE
影响因子: --
作者: [Dulal, Saurab, Wang, Lan]
通讯作者: Wang, Lan
CRI: CI-EN: Collaborative Research: mResearch: A platform for Reproducible and Extensible Mobile Sensor Big Data Research
  • 批准号:
    1823221
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.1万
  • 财政年份:
    2018
  • 负责人:
    Santosh Kumar
  • 依托单位:
SCH: INT: Collaborative Research: Enhancing Context-Awareness and Personalization for Intensively Adaptive Smoking Cessation Messaging Interventions
  • 批准号:
    1722646
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.64万
  • 财政年份:
    2017
  • 负责人:
    Santosh Kumar
  • 依托单位:
CIF21 DIBBs: EI: mProv: Provence-Based Data Analytics Cyberinfrastructure for High-frequency Mobile Sensor Data
  • 批准号:
    1640813
  • 项目类别:
    Standard Grant
  • 资助金额:
    $400.0万
  • 财政年份:
    2016
  • 负责人:
    Santosh Kumar
  • 依托单位:
National Workshop on Computational Challenges in Future Mobile Health (mHealth) Systems and Applications
  • 批准号:
    1446409
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2014
  • 负责人:
    Santosh Kumar
  • 依托单位:
海外基金