CyberTraining: Implementation: Small: Collaborative Research: Easy-Med: Interdisciplinary Training in Security, Privacy-Assured Internet of Medical Things

网络培训:实施:小型:协作研究:Easy-Med:安全、隐私保证的医疗物联网跨学科培训

基本信息

  • 批准号:
    1924112
  • 负责人:
  • 金额:
    $ 24.74万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

The combination of a network of physical devices embedded with electronics, Internet connectivity, and other hardware, such as sensors, that can communicate and interact with others over the Internet is known as the Internet of Things. One familiar application of this technology is the "smart home" in which people monitor and control their lights, thermostats and security systems remotely using smart phones or smart speakers. An Internet of Things-based framework for the healthcare industry is called the Internet of Medical Things. This technology connects patients to their physicians and supports the transfer of medical data over the Internet. Concerns about the privacy of data transmitted over the Internet and network security are challenges facing all applications of the Internet of Things concept, but they can be exacerbated by the knowledge gap between the designers of the frameworks and the end users in the medical field. As the healthcare industry grows to meet the needs of an aging population, the workforce that designs Internet of Medical Things devices and the networks that connect them must be ready to address these privacy and security concerns. The project is addressing this gap, and thus serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare.Easy-Med is a multi-disciplinary training program designed to improve core literacy of cyber infrastructure for students at the undergraduate level in northeast Texas. The six-week-long mentored program provides immersive training to increase the students' ability to develop and use secure, privacy-assured sensing healthcare frameworks. A different training module is provided each week and each day of the module includes four hours of lecture and three hours of hands-on lab exercises. Training modules introduce the students to the different aspects involved in designing devices and networks for the Internet of Medical Things. The six training modules, components of which are also provided online, include: 1) types of biosensors and Internet of Medical Things components, 2) system-level modeling of Internet of Medical Things networks, 3) signal and data analytics used in healthcare, 4) security and privacy assurance in Internet of Medical Things technology, 5) applications of biosensors in the healthcare industry, and 6) use of and ethics involved in using the Internet of Medical Things in the community setting. Students who participate in Easy-Med during the summer are encouraged to further their knowledge and provide outreach about the program by participating in a Build-a-Thon activity during the following fall semester and a research symposium in the following spring semester.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.
物联网是由嵌入了电子设备、互联网连接和其他硬件(如传感器)的物理设备组成的网络,可以通过互联网与其他设备进行通信和交互。 这项技术的一个熟悉的应用是“智能家居”,其中人们使用智能手机或智能扬声器远程监控和控制他们的灯光,恒温器和安全系统。医疗行业基于物联网的框架被称为医疗物联网。 该技术将患者与医生联系起来,并支持通过互联网传输医疗数据。 对通过互联网传输的数据隐私和网络安全的担忧是物联网概念的所有应用所面临的挑战,但框架设计者和医疗领域最终用户之间的知识差距可能会加剧这些挑战。 随着医疗行业的发展以满足人口老龄化的需求,设计医疗物联网设备和连接它们的网络的工作人员必须准备好解决这些隐私和安全问题。该项目正在解决这一差距,从而服务于国家利益,正如NSF的使命所述:促进科学的进步;推进国家的健康,繁荣和福利。Easy-Med是一个多学科的培训计划,旨在提高德克萨斯州东北部大学生的网络基础设施的核心素养。为期六周的辅导计划提供身临其境的培训,以提高学生开发和使用安全,隐私保证的传感医疗保健框架的能力。 每周提供不同的培训模块,每天的模块包括四个小时的讲座和三个小时的动手实验练习。 培训模块向学生介绍了为医疗物联网设计设备和网络所涉及的不同方面。 这六个培训单元的组成部分也在网上提供,包括:1)生物传感器和医疗物联网组件的类型,2)医疗物联网网络的系统级建模,3)医疗保健中使用的信号和数据分析,4)医疗物联网技术中的安全和隐私保证,5)生物传感器在医疗保健行业中的应用,以及6)在社区环境中使用医疗物联网的使用和伦理。 我们鼓励在夏季参加Easy-Med的学生通过参加秋季学期的Build-a-通村活动和春季学期的研究研讨会来进一步了解该计划并提供推广服务。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。

项目成果

期刊论文数量(31)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
PUFchain: Hardware-Assisted Scalable Blockchain
PUFchain:硬件辅助的可扩展区块链
PharmaChain 3.0: Blockchain Integrated Efficient QR Code Mechanism for Pharmaceutical Supply Chain
PharmaChain 3.0:区块链整合医药供应链高效二维码机制
EasyBand2.0: A Framework with Context-Aware Recommendation Mechanism for Safety-Aware Mobility during Pandemic Outbreaks
EasyBand2.0:具有上下文感知推荐机制的框架,用于大流行期间的安全感知移动
PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain
PharmaChain:确保药品供应链无假冒的区块链
  • DOI:
    10.1049/ntw2.12041
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    Bapatla, Anand K.;Mohanty, Saraju P.;Kougianos, Elias;Puthal, Deepak;Bapatla, Anusha
  • 通讯作者:
    Bapatla, Anusha
Distributed Kriging-Bootstrapped DNN Model for Fast, Accurate Seizure Detection from EEG Signals
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Saraju Mohanty其他文献

Saraju Mohanty的其他文献

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{{ truncateString('Saraju Mohanty', 18)}}的其他基金

NSF Student Travel Grant for 2019 IEEE Computer Society International Symposium on VLSI (IEEE ISVLSI)
NSF 学生旅费资助 2019 年 IEEE 计算机学会国际 VLSI 研讨会 (IEEE ISVLSI)
  • 批准号:
    1934488
  • 财政年份:
    2019
  • 资助金额:
    $ 24.74万
  • 项目类别:
    Standard Grant
Collaborative Research: CCLI (Exploratory): Introduction of Nanoelectronics Courses in Undergraduate Computer Science and Computer Engineering Curricula
合作研究:CCLI(探索性):本科计算机科学和计算机工程课程中纳米电子学课程的介绍
  • 批准号:
    0942629
  • 财政年份:
    2010
  • 资助金额:
    $ 24.74万
  • 项目类别:
    Standard Grant
International Symposium on Electronic System Design (ISED)
国际电子系统设计研讨会(ISED)
  • 批准号:
    1054975
  • 财政年份:
    2010
  • 资助金额:
    $ 24.74万
  • 项目类别:
    Standard Grant
II-EN: Infrastructure Acquisition for Statistical Power, Leakage, and Timing Modeling Towards Realization of Robust Complex Nanoelectronic Circuits
II-EN:统计功率、泄漏和时序建模的基础设施采集,以实现鲁棒的复杂纳米电子电路
  • 批准号:
    0854182
  • 财政年份:
    2009
  • 资助金额:
    $ 24.74万
  • 项目类别:
    Standard Grant
Collaborative Research: A Comprehensive Methodology for Early Power-Performance Estimation of Nano-CMOS Digital Systems
合作研究:纳米 CMOS 数字系统早期功耗性能评估的综合方法
  • 批准号:
    0702361
  • 财政年份:
    2007
  • 资助金额:
    $ 24.74万
  • 项目类别:
    Continuing Grant

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