Renewal: Preparing Crosscutting Cybersecurity Scholars

更新:培养跨领域网络安全学者

基本信息

  • 批准号:
    1922169
  • 负责人:
  • 金额:
    $ 551.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-08-01 至 2025-07-31
  • 项目状态:
    未结题

项目摘要

Rochester Institute of Technology (RIT) will build on its previous successful participation in the CyberCorps(R) Scholarship for Service (SFS) program to prepare additional highly qualified cybersecurity professionals to fill the talent gap in the government workforce. Among them will be 21 exceptional students who will graduate with a double degree: a BS degree in computer science, computing security, or software engineering, along with an accelerated MS degree in computing security. Reflecting RIT's new status as a National Center of Academic Excellence in Cyber Defense Research and a doctoral-granting institution under the Carnegie Classification, an additional three doctoral scholars will graduate from the RIT's nationally ranked Ph.D. program in computing and contribute to the future demands of the nation's cybersecurity workforce. All of these 24 graduate students will be prepared to take on leadership roles with the OPM-approved employers upon graduation, and serve to secure, protect, and improve the nation's cyberinfrastructure. With their crosscutting breadth of knowledge and experiences, these advanced SFS graduates will be ready to adapt dynamically to ongoing cybersecurity challenges at various federal executive agencies. The SFS program will be housed in RIT's B. Thomas Golisano College of Computing and Information Sciences, one of the largest computing colleges in the nation. The faculty mentors and the SFS scholars come from three computing departments within the college: computer science, software engineering, and computing security. As each department focuses on different aspects of cybersecurity, the scholars will benefit from the cohort experiences providing breadth and depth of cybersecurity knowledge and experiences. The SFS program at RIT thus will continue to produce cutting-edge scholars with leadership experiences in cybersecurity, and the abilities to advance the cybersecurity field. Scholarly contributions made by the SFS scholars and their mentors will be disseminated at cybersecurity conferences. As part of their outreach efforts in cybersecurity, the SFS scholars will also work with local schools with a large population of underrepresented groups in computing and cybersecurity. The scholars will also help to broaden female participation in cybersecurity by partnering with the college's active Women in Computing group, as well as partnering with the annual Women in Cybersecurity and the Grace Hopper Celebration conferences.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.
罗切斯特理工学院(RIT)将在其之前成功参与CyberCorps(R)服务奖学金(SFS)计划的基础上,培养更多高素质的网络安全专业人员,以填补政府劳动力的人才缺口。其中将有21名优秀的学生,他们将获得双学位:计算机科学、计算安全或软件工程学士学位,沿着计算安全加速硕士学位。为了反映RIT作为网络防御研究国家学术卓越中心和卡内基分类下的博士授予机构的新地位,另外三名博士学者将从RIT的全国排名博士毕业。计划在计算和有助于国家的网络安全劳动力的未来需求。所有这24名研究生将准备在毕业后与OPM批准的雇主一起担任领导角色,并致力于保护,保护和改善国家的网络基础设施。凭借其跨领域的知识和经验,这些高级SFS毕业生将随时准备动态适应各种联邦执行机构持续的网络安全挑战。SFS计划将设在RIT的B。托马斯戈利萨诺计算和信息科学学院,全国最大的计算学院之一。教师导师和SFS学者来自学院内的三个计算部门:计算机科学,软件工程和计算安全。由于每个部门都专注于网络安全的不同方面,学者们将从提供网络安全知识和经验的广度和深度的队列经验中受益。因此,RIT的SFS计划将继续培养具有网络安全领导经验的尖端学者,以及推进网络安全领域的能力。SFS学者及其导师的学术贡献将在网络安全会议上传播。作为他们在网络安全方面的推广工作的一部分,SFS学者还将与当地学校合作,这些学校在计算和网络安全方面拥有大量代表性不足的群体。这些学者还将通过与该学院活跃的女性计算小组合作,以及与年度网络安全女性和Grace Hopper庆祝会议合作,帮助扩大女性在网络安全方面的参与。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(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Examining Penetration Tester Behavior in the Collegiate Penetration Testing Competition
Pragmatic Characteristics of Security Conversations: An Exploratory Linguistic Analysis
安全对话的语用特征:探索性语言分析
  • DOI:
    10.1109/chase.2019.00026
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Meyers, Benjamin S.;Munaiah, Nuthan;Meneely, Andrew;Prud'hommeaux, Emily
  • 通讯作者:
    Prud'hommeaux, Emily
Computing Competencies: CC2020 Dispositions versus SFIA Responsibility Characteristics
计算能力:CC2020 处置与 SFIA 责任特征
An Automated Post-Mortem Analysis of Vulnerability Relationships using Natural Language Word Embeddings
使用自然语言词嵌入对漏洞关系进行自动事后分析
  • DOI:
    10.1016/j.procs.2021.04.018
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Meyers, Benjamin S.;Meneely, Andrew
  • 通讯作者:
    Meneely, Andrew
Enhancing Computing Curricular Outcomes and Student Accomplishments Through Collegiate Competitions
通过大学竞赛提高计算机课程成果和学生成绩
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Bo Yuan其他文献

Capturing tensile size-dependency in polymer nanofiber elasticity
捕获聚合物纳米纤维弹性的拉伸尺寸依赖性
Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution
解决具有任意邻域的 TSPN:混合解决方案
  • DOI:
    10.1007/978-3-319-51691-2_18
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bo Yuan;Tiantian Zhang
  • 通讯作者:
    Tiantian Zhang
Streptomyces phytohabitans sp. nov., a novel endophytic actinomycete isolated from medicinal plant Curcuma phaeocaulis
植物栖息链霉菌 sp.
Comparison of fibrogenesis caused by dermal and adipose tissue injury in an experimental model
实验模型中真皮和脂肪组织损伤引起的纤维形成的比较
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Bo Yuan;Xiqiao Wang;Zhiyong Wang;Jun Wei;C. Qing;Shuliang Lu
  • 通讯作者:
    Shuliang Lu
The effects of awe on interpersonal forgiveness: the mediating role of small-self
敬畏对人际宽恕的影响:小自我的中介作用
  • DOI:
    10.3389/fpsyg.2024.1336068
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Suxia Liao;Yichang Liu;Bo Yuan
  • 通讯作者:
    Bo Yuan

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:
    $ 551.54万
  • 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:
    $ 551.54万
  • 项目类别:
    Continuing 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:
    $ 551.54万
  • 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:
    1854742
  • 财政年份:
    2018
  • 资助金额:
    $ 551.54万
  • 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:
    $ 551.54万
  • 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:
    $ 551.54万
  • 项目类别:
    Standard Grant
SFS: Preparing Crosscutting Cybersecurity Scholars
SFS:培养跨领域网络安全学者
  • 批准号:
    1433736
  • 财政年份:
    2015
  • 资助金额:
    $ 551.54万
  • 项目类别:
    Continuing Grant

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