IUSE: Collaborative Project: Building Virtual Research, Interactive, Service, and Experiential Learning Modules for Cyber Security Education

IUSE:合作项目:为网络安全教育构建虚拟研究、互动、服务和体验式学习模块

基本信息

  • 批准号:
    1431265
  • 负责人:
  • 金额:
    $ 10.58万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-01 至 2016-09-30
  • 项目状态:
    已结题

项目摘要

This project will help address the critical need for more graduates who have a foundation in cybersecurity concepts and skills. It will utilize a cyberinfrastructure learning experience, through the use of a mobile cloud-based virtual laboratory (MCVE), to introduce cybersecurity material to computer science (CS), information technology (IT), and computer engineering (CE) students at Indiana University-Purdue University at Indianapolis (IUPUI), Rochester Institute of Technology (RIT), and Tennessee State University. Existing courses can be enhanced with the addition of relevant lab modules, and this approach will make it possible for students to see directly how computer science and engineering concepts can be used in real problem-solving. This project will promote recruitment and retention of CS, CE, and IT students for careers in cybersecurity. In addition, a number of professional development and outreach workshops will help increase the number of university faculty prepared to offer courses that utilize the same underlying system, and also prepare high school teachers to, at minimum, make students aware of cybersecurity issues and practices. The educational activities involved in this project will use the RISE (Research, Interactive, Service, and Experiential) learning components in order to teach cybersecurity concepts and skills. The learning components will utilize MCVE as the mechanism for delivering the RISE laboratory modules. The MCVE infrastructure is based on smartphones and cloud computing resources that are available at the three universities and through the Amazon EC2 system. The cloud security testbed at IUPUI and the RIT computation grid will be used to create virtual machines and network topologies on which security experiments can be conducted. The TSU Cloud at Tennessee State will be used to serve a malware database. Finally, the Amazon Web Services can be used for security implementation experiments. This collection of resources will allow students who work with the MCVE to experiment with a range of system, network, and cloud configurations. Students will have the opportunity to work with MCVE through numerous courses that span the CS, IT, and CE curricula, addressing secure programming, cryptography, security architecture, network security, and security policy. Project evaluation will be done with a mixed methods approach, specifically focusing on the skills and increased competency students gain as a result of the RISE lab modules, change in student understanding of the connection between cybersecurity concepts and techniques, changes in recruitment and retention of CS, CE, and IT students. Evaluation will include student surveys, learning outcome measures, instructor interviews, and classroom observations. This project will be funded by the Division of Undergraduate Education, through the IUSE program, and the Division of Graduate Education, through the SFS program.
该项目将有助于满足对更多在网络安全概念和技能方面有基础的毕业生的迫切需求。 它将利用网络基础设施的学习经验,通过使用一个移动的基于云的虚拟实验室(MCVE),介绍网络安全材料的计算机科学(CS),信息技术(IT),和计算机工程(CE)的学生在印第安纳州普渡大学印第安纳波利斯(IUPUI),罗切斯特理工学院(RIT)和田纳西州立大学。 现有的课程可以通过增加相关的实验模块来增强,这种方法将使学生能够直接看到计算机科学和工程概念如何用于解决真实的问题。 该项目将促进CS、CE和IT学生在网络安全领域的招聘和保留。 此外,一些专业发展和外联讲习班将有助于增加准备开设利用同一基础系统的课程的大学教师人数,并使高中教师至少能够使学生了解网络安全问题和做法。 该项目中涉及的教育活动将使用RISE(研究,互动,服务和体验)学习组件,以教授网络安全概念和技能。 学习部分将利用MCVE作为提供RISE实验室模块的机制。 MCVE基础设施基于智能手机和云计算资源,这些资源可在三所大学和通过Amazon EC2系统获得。 IUPUI的云安全测试平台和RIT计算网格将用于创建虚拟机和网络拓扑,以便进行安全实验。 田纳西州立大学的大津云将用于服务恶意软件数据库。 最后,Amazon Web Services可用于安全实现实验。 这些资源集合将允许使用MCVE的学生尝试一系列系统、网络和云配置。 学生将有机会通过跨越CS,IT和CE课程的众多课程与MCVE合作,解决安全编程,密码学,安全架构,网络安全和安全政策。 项目评估将采用混合方法进行,特别关注学生通过RISE实验室模块获得的技能和增强的能力,学生对网络安全概念和技术之间联系的理解的变化,CS,CE和IT学生的招聘和保留的变化。 评估将包括学生调查,学习成果的措施,教师访谈和课堂观察。 该项目将由本科教育部通过IUSE计划和研究生教育部通过SFS计划资助。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Kaiqi Xiong其他文献

Resource Provisioning in SLA-Based Cluster Computing
基于SLA的集群计算中的资源配置
  • DOI:
    10.1007/978-3-642-16505-4_1
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kaiqi Xiong;S. Suh
  • 通讯作者:
    S. Suh
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
推进 DDoS 攻击检测:使用深度残差神经网络和合成过采样的协同方法
  • DOI:
    10.48550/arxiv.2401.03116
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ali Alfatemi;Mohamed Rahouti;Ruhul Amin;Sarah Aljamal;Kaiqi Xiong;Yufeng Xin
  • 通讯作者:
    Yufeng Xin
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
通过组合融合分析增强基于 ML 的 DoS 攻击检测
Nonlinear target tracking for threat detection using RSSI and optical fusion
使用 RSSI 和光学融合进行非线性目标跟踪以进行威胁检测
Applying Machine Learning Techniques to Understand User Behaviors When Phishing Attacks Occur
应用机器学习技术了解网络钓鱼攻击发生时的用户行为

Kaiqi Xiong的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Kaiqi Xiong', 18)}}的其他基金

Building Cloud-Based Experiential Blockchain Learning Modules for Cybersecurity Education
为网络安全教育构建基于云的体验式区块链学习模块
  • 批准号:
    2236283
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
US Ignite: Track 1: Collaborative Research: DISTINCT: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids
US Ignite:轨道 1:合作研究:DISTINCT:用于大型电网广域控制的分布式多环网络系统
  • 批准号:
    1531061
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors
EAGER:协作:用户安全和激励行为的计算认知建模
  • 批准号:
    1620862
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
US Ignite: Track 1: Collaborative Research: DISTINCT: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids
US Ignite:轨道 1:合作研究:DISTINCT:用于大型电网广域控制的分布式多环网络系统
  • 批准号:
    1620871
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Project: Building An Innovative Smartphone Virtual Laboratory Environment for Cyber-security Education and Training
合作项目:为网络安全教育和培训构建创新的智能手机虚拟实验室环境
  • 批准号:
    1636622
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Building Virtual Research, Interactive, Service, and Experiential Learning Modules for Cyber Security Education
IUSE:合作项目:为网络安全教育构建虚拟研究、互动、服务和体验式学习模块
  • 批准号:
    1651280
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors
EAGER:协作:用户安全和激励行为的计算认知建模
  • 批准号:
    1544385
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
EAGER: The Performance Evaluation of Intra-domain Bandwidth Allocation and Inter-domain Routing Algorithms for a QoS-guaranteed Routing Path Discovery
EAGER:用于 QoS 保证的路由路径发现的域内带宽分配和域间路由算法的性能评估
  • 批准号:
    1633978
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Engaged Student Learning: Design and Development, Level I: Broadening the Path to the STEM Profession Through Cybersecurity Learning
IUSE:合作项目:学生参与学习:设计与开发,第一级:通过网络安全学习拓宽 STEM 职业之路
  • 批准号:
    1620868
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Engaged Student Learning: Design and Development, Level I: Broadening the Path to the STEM Profession Through Cybersecurity Learning
IUSE:合作项目:学生参与学习:设计与开发,第一级:通过网络安全学习拓宽 STEM 职业之路
  • 批准号:
    1525278
  • 财政年份:
    2015
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant

相似海外基金

Project Incubation: Training Undergraduates in Collaborative Research Ethics
项目孵化:培养本科生合作研究伦理
  • 批准号:
    2316154
  • 财政年份:
    2024
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo: Building an inclusive geoscience community through accessible, reusable, and reproducible workflows
合作研究:GEO OSE 第 2 轨道:Pythia 和 Pangeo 项目:通过可访问、可重用和可重复的工作流程构建包容性的地球科学社区
  • 批准号:
    2324304
  • 财政年份:
    2024
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo: Building an inclusive geoscience community through accessible, reusable, and reproducible workflows
合作研究:GEO OSE 第 2 轨道:Pythia 和 Pangeo 项目:通过可访问、可重用和可重复的工作流程构建包容性的地球科学社区
  • 批准号:
    2324302
  • 财政年份:
    2024
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo: Building an inclusive geoscience community through accessible, reusable, and reproducible workflows
合作研究:GEO OSE 第 2 轨道:Pythia 和 Pangeo 项目:通过可访问、可重用和可重复的工作流程构建包容性的地球科学社区
  • 批准号:
    2324303
  • 财政年份:
    2024
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Mentoring Psychology Research Experiences through Replication with the Collaborative Replication and Education Project
通过协作复制和教育项目的复制来指导心理学研究经验
  • 批准号:
    2312491
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
SBIR Phase I: Distributed Ledger Technology Based Collaborative Project Management Platform
SBIR第一期:基于分布式账本技术的协作项目管理平台
  • 批准号:
    2230205
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Research: The interplay of nitrogen loading and ecosystem sustainability in threatened wetlands: an extension of the WETFEET project
合作研究:受威胁湿地氮负荷与生态系统可持续性的相互作用:WEFTEET 项目的延伸
  • 批准号:
    2225001
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: Integrating Culturally Relevant Project-based AI Learning into High School STEM Education
合作研究:RAPID:将文化相关的基于项目的人工智能学习融入高中 STEM 教育
  • 批准号:
    2333099
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
Development of a delivery hospital art model through an international collaborative project.
通过国际合作项目开发分娩医院艺术模型。
  • 批准号:
    23K17493
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Collaborative Research: The interplay of nitrogen loading and ecosystem sustainability in threatened wetlands: an extension of the WETFEET project
合作研究:受威胁湿地氮负荷与生态系统可持续性的相互作用:WEFTEET 项目的延伸
  • 批准号:
    2224999
  • 财政年份:
    2023
  • 资助金额:
    $ 10.58万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了