SFS: Preparing Crosscutting Cybersecurity Scholars

SFS:培养跨领域网络安全学者

基本信息

  • 批准号:
    1433736
  • 负责人:
  • 金额:
    $ 389.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

This project seeks to establish a new CyberCorps®: Scholarship for Service (SFS) program at the Rochester Institute of Technology (RIT) to prepare highly-qualified Cybersecurity professionals for entry into the federal, state, local, and tribal government workforce.Rochester Institute of Technology plans to provide CyberCorps scholarships to talented students enrolled in undergraduate programs in Computing Security, Computer Science, and Software Engineering. These students will receive an MS degree in Computing Security in addition to a BS in their respective programs upon graduation. This proposal aims to leverage the well-established Computing Security, Computer Science, and Software Engineering programs to educate next generation cybersecurity professionals and to create a unique cohort experience of students from multiple disciplines. It will allow students to learn cybersecurity from different perspectives while unifying them by shared experience: common coursework, monthly seminars, work on research projects, and travel to security conferences. CyberCorps scholarship requirement will build on RIT's well-established undergraduate cooperative education (co-op) model. This proposal leverages RIT?s infrastructure, diverse programs, faculty resources, and industry/military relationships to support a pool of qualified candidates who are interested in pursuing careers in cybersecurity. RIT's SFS graduates will become part of the government cybersecurity workforce. Their scholarly contributions will be disseminated at professional conferences related to cybersecurity. The PIs will discuss lessons learned in running this CyberCorps program at appropriate venues in educational and federal settings such as CISSE Colloquium or NICE conferences. The PIs and the SFS scholars will visit the City of Rochester schools with a large population of underrepresented groups in computing. Student scholars will increase awareness of cybersecurity threats and teach students basic skills how to stay safe online.
该项目旨在在罗彻斯特理工学院 (RIT) 建立一个新的 Cyber​​Corps®:服务奖学金 (SFS) 计划,为进入联邦、州、地方和部落政府劳动力队伍培养高素质网络安全专业人员。 罗彻斯特学院技术学院计划为就读计算机安全、计算机科学和软件工程本科课程的优秀学生提供 Cyber​​Corps 奖学金,这些学生除了获得各自课程的学士学位外,还将获得计算机安全硕士学位。来利用完善的计算安全、计算机科学和软件工程课程,旨在教育下一代网络安全专业人员,并为来自多个学科的学生创造独特的群体体验,这将使学生从不同的角度学习网络安全,同时通过共同的经验将它们统一起来。课程作业、每月研讨会、研究项目以及参加安全会议的奖学金要求将建立在 RIT 完善的本科生合作教育 (co-op) 模式的基础上。工业/军事关系,以支持一批有兴趣从事网络安全职业的合格候选人,他们的学术贡献将在与网络安全相关的专业会议上传播。 PI 和 SFS 学者将参观人口众多的罗切斯特市学校,并在教育和联邦环境中的适当场所(例如 CISSE 研讨会或 NICE 会议)开展该 Cyber​​Corps 计划。计算机领域代表性不足的群体学生学者将提高对网络安全威胁的认识,并教授学生如何保持在线安全的基本技能。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Infusing Principles and Practices for Secure Computing Throughout an Undergraduate Computer Science Curriculum
在本科计算机科学课程中融入安全计算的原理和实践
Toward High Performance Computing Education
迈向高性能计算教育
Protecting Personally Identifiable Information (PII) in Critical Infrastructure Data Using Differential Privacy
使用差异隐私保护关键基础设施数据中的个人身份信息 (PII)
An Empirical Approach to Understanding Data Science and Engineering Education
理解数据科学与工程教育的实证方法
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Bo Yuan其他文献

Belief propagation decoding of polar codes using stochastic computing
使用随机计算对极性码进行置信​​传播解码
Algorithm and architecture for hybrid decoding of polar codes
极性码混合解码算法和架构
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper
张量奇异值分解的高性能硬件架构:特邀论文
Review of the phenotypic spectrum associated with haploinsufficiency of MYRF
与 MYRF 单倍体不足相关的表型谱的回顾
  • DOI:
    10.1002/ajmg.a.61182
  • 发表时间:
    2019-07-01
  • 期刊:
  • 影响因子:
    2
  • 作者:
    L. Rossetti;K. Glinton;Bo Yuan;Pengfei Liu;Nishitha R Pillai;Elizabeth Mizerik;P. Magoulas;J. Rosenfeld;L. Karaviti;V. Sutton;S. Lalani;D. Scott
  • 通讯作者:
    D. Scott
Bandpass Filters Using Single and Cascaded Novel Triple-Mode Ceramic Monoblocks
使用单块和级联新型三模陶瓷单体的带通滤波器

Bo Yuan的其他文献

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{{ truncateString('Bo Yuan', 18)}}的其他基金

CAREER: SHF: Chimp: Algorithm-Hardware-Automation Co-Design Exploration of Real-Time Energy-Efficient Motion Planning
职业:SHF:黑猩猩:实时节能运动规划的算法-硬件-自动化协同设计探索
  • 批准号:
    2239945
  • 财政年份:
    2023
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHF: Medium: TensorNN: An Algorithm and Hardware Co-design Framework for On-device Deep Neural Network Learning using Low-rank Tensors
合作研究:SHF:Medium:TensorNN:使用低秩张量进行设备上深度神经网络学习的算法和硬件协同设计框架
  • 批准号:
    1955909
  • 财政年份:
    2020
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Continuing Grant
Renewal: Preparing Crosscutting Cybersecurity Scholars
更新:培养跨领域网络安全学者
  • 批准号:
    1922169
  • 财政年份:
    2019
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Continuing Grant
AitF: Collaborative Research: A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices
AitF:协作研究:使用结构化矩阵的深度神经网络同时加速和存储减少的框架
  • 批准号:
    1854742
  • 财政年份:
    2018
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Standard Grant
SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
SHF:小型:协作研究:LDPD-Net:低密度置换对角深度神经网络加速架构框架
  • 批准号:
    1854737
  • 财政年份:
    2018
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Standard Grant
SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
SHF:小型:协作研究:LDPD-Net:低密度置换对角深度神经网络加速架构框架
  • 批准号:
    1815699
  • 财政年份:
    2018
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Standard Grant
AitF: Collaborative Research: A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices
AitF:协作研究:使用结构化矩阵的深度神经网络同时加速和存储减少的框架
  • 批准号:
    1733834
  • 财政年份:
    2017
  • 资助金额:
    $ 389.94万
  • 项目类别:
    Standard Grant

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高通量测序样本准备方法及其在孕妇外周血微量循环核酸研究中的应用
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