SaTC: EDU: Collaborative: Advancing Cybersecurity Learning Through Inquiry-based Laboratories on a Container-based Virtualization Platform

SaTC:EDU:协作:通过基于容器的虚拟化平台上的探究实验室推进网络安全学习

基本信息

  • 批准号:
    1912755
  • 负责人:
  • 金额:
    $ 15万
  • 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:
    2019-07-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

It is critical to educate and train a cybersecurity-capable workforce in an era where security breaches, privacy violations, and phishing scams have become commonplace. However, due to the complicated and abstract nature of many cybersecurity concepts and techniques, it is challenging for students to comprehend them in an effective manner. To address this challenge, this project seeks to create innovative learning materials and tools that can help transform the status quo of cybersecurity education. The project design is based on the inquiry-based learning model and enabled by recent advances in virtualization technology. Specifically, this project consists of a set of inquiry-based, hands-on laboratories that are hosted on an affordable, scalable, extensible, and low-maintenance container-based virtualization platform. This project meets the pressing and essential needs in cybersecurity curricula by aiding the development of new lab materials and courses for community and four-year colleges. In this project, three types of hands-on labs will be designed and developed: Outreach, Core, and Advanced. Outreach labs are designed specifically for community college students to inspire their curiosity and interest in cybersecurity, and thus, to drive them to continue their study in a 4-year college. The key purpose of the core labs is to assist the learning of complicated cybersecurity concepts and technologies. The advanced labs aim at not only introducing emerging security technologies, but also inspiring students who are interested in doing research in these areas. All of our lab materials and software tools will be open-source and available to learners, educators, and researchers. Lastly, training on the container-based cloud computing platform will be offered to instructors and graduate students.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.
在安全漏洞、侵犯隐私和网络钓鱼诈骗司空见惯的时代,教育和培训具有网络安全能力的员工队伍至关重要。然而,由于许多网络安全概念和技术的复杂性和抽象性,学生有效理解它们具有挑战性。为了应对这一挑战,该项目旨在创建创新的学习材料和工具,以帮助改变网络安全教育的现状。该项目设计基于探究式学习模型,并借助虚拟化技术的最新进展。具体来说,该项目由一组基于查询的实践实验室组成,这些实验室托管在一个经济实惠、可扩展、可扩展且低维护的基于容器的虚拟化平台上。该项目通过帮助社区和四年制大学开发新的实验室材料和课程,满足网络安全课程的紧迫和基本需求。在该项目中,将设计和开发三种类型的实践实验室:外展实验室、核心实验室和高级实验室。外展实验室是专为社区学院学生设计的,旨在激发他们对网络安全的好奇心和兴趣,从而推动他们在四年制大学继续学习。核心实验室的主要目的是帮助学习复杂的网络安全概念和技术。先进的实验室不仅旨在介绍新兴的安全技术,还旨在激励有兴趣在这些领域进行研究的学生。我们所有的实验室材料和软件工具都将是开源的,可供学习者、教育工作者和研究人员使用。最后,将为教师和研究生提供基于容器的云计算平台的培训。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,认为值得支持。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
IEEE Access Special Section: Privacy Preservation for Large-Scale User Data in Social Networks
IEEE Access专节:社交网络中大规模用户数据的隐私保护
  • DOI:
    10.1109/access.2020.3036101
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Gao, Yuan;Li, Yi;Sun, Yunchuan;Cai, Zhipeng;Ma, Liran;Pustisek, Matevz;Hu, Su
  • 通讯作者:
    Hu, Su
Solving the Crowdsourcing Dilemma Using the Zero-Determinant Strategies
使用零决定性策略解决众包困境
Video Aficionado: We Know What You Are Watching
视频爱好者:我们知道您在看什么
  • DOI:
    10.1109/tmc.2020.3045730
  • 发表时间:
    2020-12
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    He, Jialing;Zhang, Zijian;Mao, Jian;Ma, Liran;Khoussainov, Bakh;Jin, Rui;Zhu, Liehuang
  • 通讯作者:
    Zhu, Liehuang
Paradox of AlphaZero: Strategic vs. Optimal Plays
AlphaZero 的悖论:战略策略与最优策略
Quantum Game Analysis on Extrinsic Incentive Mechanisms for P2P Services
P2P服务外在激励机制的量子博弈分析
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Liran Ma其他文献

Temperature-controlled Friction Coefficient Lubricated by Liquid Crystal
液晶润滑温控摩擦系数
  • DOI:
    10.1080/02678292.2021.1944355
  • 发表时间:
    2021-07-09
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Yuan Gao;Liran Ma;Jianbin Luo
  • 通讯作者:
    Jianbin Luo
Video Aficionado: We Know What You Are Watching
视频爱好者:我们知道您在看什么
  • DOI:
    10.1109/tmc.2020.3045730
  • 发表时间:
    2020-12-18
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Jialing He;Zijian Zhang;Jian Mao;Liran Ma;B. Khoussainov;Rui Jin;Liehuang Zhu
  • 通讯作者:
    Liehuang Zhu
Effect of solid surface on the formation of thin confined lubricating film of water with micro-content of oil
固体表面对微油水约束润滑膜形成的影响
  • DOI:
    10.1016/j.apsusc.2010.04.050
  • 发表时间:
    2010-09-01
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Liran Ma;Jianbin Luo;Chenhui Zhang
  • 通讯作者:
    Chenhui Zhang
A novel rate adaptation scheme for 802.11 networks
一种新颖的 802.11 网络速率自适应方案
Sliding direction dependence of stick-slip in finger friction
手指摩擦中粘滑运动的滑动方向依赖性
  • DOI:
    10.1016/j.triboint.2023.109141
  • 发表时间:
    2023-11-01
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Zhonghuan Xiang;Yuanzhe Li;Xue Zhou;Pengpeng Bai;Yonggang Meng;Liran Ma;Yu Tian
  • 通讯作者:
    Yu Tian

Liran Ma的其他文献

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{{ truncateString('Liran Ma', 18)}}的其他基金

Collaborative Research: SaTC: EDU: Fire and ICE: Raising Security Awareness through Experiential Learning Activities for Building Trustworthy Deep Learning-based Applications
协作研究:SaTC:EDU:火灾和 ICE:通过体验式学习活动提高安全意识,构建值得信赖的基于深度学习的应用程序
  • 批准号:
    2244220
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
CyberTraining: CIP: Collaborative Research: Enhancing Mobile Security Education by Creating Eureka Experiences
网络培训:CIP:协作研究:通过创建 Eureka 体验加强移动安全教育
  • 批准号:
    1829553
  • 财政年份:
    2018
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
EAGER: A Social and Context Aware Spectrum Management Framework for Heterogeneous Cognitive Radio Networks
EAGER:异构认知无线电网络的社交和情境感知频谱管理框架
  • 批准号:
    1352726
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant

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EDU增强冬小麦O3抗性的生理生态学机制研究
  • 批准号:
  • 批准年份:
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  • 资助金额:
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Collaborative Research: SaTC: EDU: QUINTET: Quantum Internet Education and Training Synthesizer
合作研究:SaTC:EDU:QUINTET:量子互联网教育和培训合成器
  • 批准号:
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Collaborative Research: SaTC: EDU: A Comprehensive Training Program of AI for 5G and NextG Wireless Network Security
合作研究:SaTC:EDU:5G 和 NextG 无线网络安全人工智能综合培训项目
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  • 资助金额:
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Collaborative Research: SaTC: EDU: Dual-track Role-based Learning for Cybersecurity Analysts and Engineers for Effective Defense Operation with Data Analytics
协作研究:SaTC:EDU:网络安全分析师和工程师基于角色的双轨学习,通过数据分析实现有效的防御操作
  • 批准号:
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  • 财政年份:
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Collaborative Research: SaTC: EDU: Dual-track Role-based Learning for Cybersecurity Analysts and Engineers for Effective Defense Operation with Data Analytics
协作研究:SaTC:EDU:网络安全分析师和工程师基于角色的双轨学习,通过数据分析实现有效的防御操作
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    2023
  • 资助金额:
    $ 15万
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    Standard Grant
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