Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity

协作研究:网络培训:实施:中:T3-CIDERS:一种培训师培训方法,促进网络安全中的 CI 和数据支持研究

基本信息

  • 批准号:
    2320999
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

This project aims to respond to the urgent need for well-prepared cybersecurity researchers and professionals in the nation by increasing the literacy, accessibility, and adoption of advanced cyberinfrastructure techniques, tools, and platforms in cybersecurity and cyber-related disciplines. The project team develops “T3-CIDERS”, a Train-the-Trainer program, which will train teams of faculty, researchers and graduate students across multiple states, who will subsequently disseminate knowledge and skills on advanced cyberinfrastructure to a broader group of students and researchers within their own institutions and to K-12 audiences, especially those within underrepresented communities. The training program reaches a wider audience through an interactive, open online learning environment, broadening the accessibility of computational and data science across various scientific and engineering disciplines. The T3-CIDERS program facilitates the preparation of current and future cybersecurity and cyber-related researchers, engineers, and practitioners with advanced cyberinfrastructure and data analytic skills, which have become increasingly important for developing secure and resilient digital infrastructure. Given its multi-level educational structure and ubiquitous societal needs for advanced cyberinfrastructure in cybersecurity, this project is expected to have significant and wide-ranging societal impacts, particularly in the areas of workforce development, innovative curriculum, and developing capabilities of supporting diverse and underrepresented groups.This collaborative project furnishes a unique Train-the-Trainer Approach to Fostering CyberInfrastructure- and Data-Enabled Research in CyberSecurity (T3-CIDERS), a program to train faculty, researchers, and students to develop solid CI competencies through a train-the-trainer program designed to be synergistic with research, teaching, and learning activities. The project develops comprehensive technical cyberinfrastructure (CI)-focused and pedagogical train-the-trainer (T3) modules designed for effective CI education of a broad and diverse range of learners. Leveraging the groundwork laid by the NSF-funded DeapSECURE program, this project will augment the existing DeapSECURE CI modules by developing new fundamental and application-oriented resources tailored for advancing cybersecurity research. A core component in this project is a novel T3 module, designed to cultivate cybersecurity researchers and professionals into skilled trainers, enhancing both their instructional design capabilities and technological aptitudes. This learner-focused approach aspires to foster a community of practice (CoP) and promote CI integration in cybersecurity research and education. Moreover, to extend the project's reach and longevity, an online adaptation, T3-Online, will be developed as an open educational resource to facilitate broadening project outcomes into other domains of science and engineering. The success of the project will drive interest and understanding of CI as essential tools in state-of-the-art cybersecurity research, flatten the student learning curve for CI technology and provide a national leadership in CI training for cybersecurity research.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Cybercorps Scholarship for Service, Directorate for STEM Education.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.
该项目旨在迫切需要进行充分准备的网络安全访问,而高级的网络基础设施技术以及网络安全和网络相关的平台,与网络相关。多个州的教职员工,研究人员和研究生在高级网络界的网络结构上,对自己的较广泛的学生和研究人员在自己的认识中向更广泛的学生和研究人员传播了这些人,那些那些那些那些那些那些那些那些那些那些那些那些人的人到达更广泛的受众互动的人,开放在线学习环境,跨科学和ING学科的计算和数据科学的可访问性促进了当前和未来的网络安全以及与网络相关的研究人员,具有先进的无线电话和数据分析技能的工程师安全和弹性的数字基础架构。培训师的方法是通过网络安全和数据支持的网络安全研究(T3-Ciders)D学生通过火车培训计划Desigram Desigram与研究,教学和学习活动协同(该项目开发),以开发稳固的CI能力。 T3)设计的模块是针对多种学习者的有效教育。 COP和CI综合研究和教育。最先进的网络安全研究,CI技术培训中CI技术领导力的Thearning曲线在CI培训中进行了高级网络安全E培训E的Cyber​​corpship for Service for Service,STEM Education in seg Education。使用基金会的智力优点和更广泛的影响审查标准,通过评估进行支持。

项目成果

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Hongyi Wu其他文献

Optimal Online Data Dissemination for Resource Constrained Mobile Opportunistic Networks
资源受限移动机会网络的最优在线数据传播
  • DOI:
    10.1109/tvt.2016.2616034
  • 发表时间:
    2017-06
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Yang Liu;Hongyi Wu;Yuanqing Xia;Yu Wang;Fan Li;Panlong Yang
  • 通讯作者:
    Panlong Yang
Zero-Knowledge Proof of Distinct Identity: a Standard-compatible Sybil-resistant Pseudonym Extension for C-ITS
独特身份的零知识证明:C-ITS 的标准兼容的抗 Sybil 假名扩展
  • DOI:
    10.48550/arxiv.2403.14020
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ye Tao;Hongyi Wu;Ehsan Javanmardi;Manabu Tsukada;Hiroshi Esaki
  • 通讯作者:
    Hiroshi Esaki
A knowledge graph-based analytical model for mining clinical value of drug stress echocardiography for diagnosis, risk stratification and prognostic evaluation of coronary artery disease.
基于知识图谱的分析模型,挖掘药物应激超声心动图对冠心病诊断、风险分层和预后评估的临床价值。
Efficient dynamic load balancing algorithms using iCAR systems: a generalized framework
使用 iCAR 系统的高效动态负载平衡算法:通用框架
Recurrent ST-segment elevation in infarct-associated leads
梗塞相关导联反复出现 ST 段抬高
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Hongyi Wu;J. Qian;J. Ge
  • 通讯作者:
    J. Ge

Hongyi Wu的其他文献

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{{ truncateString('Hongyi Wu', 18)}}的其他基金

IUCRC Planning Grant Old Dominion University: Center for Wireless Innovation towards Secure, Pervasive, Efficient and Resilient Next G Networks (WISPER)
IUCRC 规划拨款 Old Dominion 大学:实现安全、普遍、高效和有弹性的下一代网络 (WISPER) 的无线创新中心
  • 批准号:
    2209673
  • 财政年份:
    2022
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: Medium: A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning
合作研究:CCRI:新:媒介:隐私保护和安全(DEEPSECURE)机器学习的开发和实验环境
  • 批准号:
    2245250
  • 财政年份:
    2022
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
IUCRC Planning Grant Old Dominion University: Center for Wireless Innovation towards Secure, Pervasive, Efficient and Resilient Next G Networks (WISPER)
IUCRC 规划拨款 Old Dominion 大学:实现安全、普遍、高效和有弹性的下一代网络 (WISPER) 的无线创新中心
  • 批准号:
    2244902
  • 财政年份:
    2022
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"
合作研究:SHF:小型:七巧板:通过可重构聚合“虚拟芯片”扩展到百亿亿次时代
  • 批准号:
    2245129
  • 财政年份:
    2022
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: Medium: A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning
合作研究:CCRI:新:媒介:隐私保护和安全(DEEPSECURE)机器学习的开发和实验环境
  • 批准号:
    2120279
  • 财政年份:
    2021
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
NSF INCLUDES Planning Grant: Building Cybersecurity Inclusive Pathways towards Higher Education and Research (CIPHER)
NSF 包括规划拨款:构建通向高等教育和研究的网络安全包容性途径 (CIPHER)
  • 批准号:
    2012941
  • 财政年份:
    2020
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"
合作研究:SHF:小型:七巧板:通过可重构聚合“虚拟芯片”扩展到百亿亿次时代
  • 批准号:
    2008477
  • 财政年份:
    2020
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CyberTraining:CIC: DeapSECURE: A Data-Enabled Advanced Training Program for Cyber Security Research and Education
Cyber​​Training:CIC:DeapSECURE:用于网络安全研究和教育的数据支持高级培训计划
  • 批准号:
    1829771
  • 财政年份:
    2018
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Planning Grant: Engineering Research Center for Safe and Secure Artificial Intelligence Solutions (SAIS)
规划资助:安全可靠的人工智能解决方案工程研究中心(SAIS)
  • 批准号:
    1840458
  • 财政年份:
    2018
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
MRI Acquisition: A Reconfigurable Computing Infrastructure Enabling Interdisciplinary and Collaborative Research in Hampton Roads
MRI 采集:可重新配置的计算基础设施,支持汉普顿路的跨学科和协作研究
  • 批准号:
    1828593
  • 财政年份:
    2018
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant

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协作研究:Cyber​​Training:试点:PowerCyber​​:电力工程研究人员的计算培训
  • 批准号:
    2319895
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