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

基本信息

  • 批准号:
    2236283
  • 负责人:
  • 金额:
    $ 14.99万
  • 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:
    2023-03-01 至 2026-02-28
  • 项目状态:
    未结题

项目摘要

This project aims to serve the national interest by developing blockchain learning modules to improve cybersecurity education for both computer science and non-computer science students. The remarkable growth of cybersecurity threats affirms the importance of engaging undergraduate students in adaptive hands-on learning-based education. The current number of highly skilled professionals in the cybersecurity market does not align with the increasing growth of cybersecurity threats. In addition, blockchain technology, as a vital component of cybersecurity markets, is expected to have a massive impact on both the public and private sectors. Broadening curricula and providing hands-on learning practices for undergraduate STEM students will help address the need for well-prepared professionals in blockchain technology. The project intends to implement innovative learning strategies and resources to enhance blockchain and cybersecurity education by leveraging existing NSF cyberinfrastructure resources and hands-on lab experiences. The goal of the project is to improve student learning outcomes associated with blockchain technology. The proposed strategies will include several activities: 1) integrating open-ended design along with evidence-based and knowledge-generating experiences into lab experiments, 2) accomplishing teamwork in flexible and portable labs, 3) creating online and in-person learning communities, and 4) overcoming the isolation of single location experiments to make possible multi-domain interactions. In addition to designing a new course for blockchain and cybersecurity, the project team plans to develop and integrate experiential online learning modules into several existing courses. The developed courses and learning modules have the potential to generate new knowledge of how NSF-funded cyberinfrastructure resources can be easily and efficiently used in cybersecurity education through blockchain labs. The project team plans to disseminate the developed modules to faculty development workshops and STEM camps for high school students to broaden participation in computing. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.
该项目旨在通过开发区块链学习模块来服务于国家利益,以改善计算机科学和非计算机科学学生的网络安全教育。网络安全威胁的显着增长肯定了让本科生参与适应性实践学习教育的重要性。目前网络安全市场上高技能专业人员的数量与网络安全威胁的增长不一致。此外,区块链技术作为网络安全市场的重要组成部分,预计将对公共和私营部门产生巨大影响。拓宽课程并为本科STEM学生提供实践学习实践,将有助于满足区块链技术领域对准备充分的专业人员的需求。该项目旨在实施创新的学习策略和资源,通过利用现有的NSF网络基础设施资源和实践实验室经验来加强区块链和网络安全教育。该项目的目标是改善与区块链技术相关的学生学习成果。建议的策略将包括几个活动:1)整合开放式设计沿着与循证和知识生成的经验到实验室的实验,2)在灵活和便携式实验室完成团队合作,3)创建在线和面对面的学习社区,和4)克服单一位置的实验,使可能的多域互动的隔离。除了为区块链和网络安全设计一门新课程外,项目团队还计划开发体验式在线学习模块,并将其整合到现有的几门课程中。开发的课程和学习模块有可能产生新的知识,即如何通过区块链实验室轻松有效地将NSF资助的网络基础设施资源用于网络安全教育。项目团队计划将开发的模块传播到教师发展研讨会和高中学生STEM营地,以扩大对计算的参与。NSF IUSE:EHR计划支持研究和开发项目,以提高所有学生STEM教育的有效性。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

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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

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

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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    $ 14.99万
  • 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:
    1431265
  • 财政年份:
    2014
  • 资助金额:
    $ 14.99万
  • 项目类别:
    Standard Grant

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Building Cloud-Based Experiential Blockchain Learning Modules for Cybersecurity Education
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