Spreading SEEDs: Large-Scale Dissemination of Hands-on Labs for Security Education

传播 SEED:大规模传播安全教育实践实验室

基本信息

  • 批准号:
    1303306
  • 负责人:
  • 金额:
    $ 82.74万
  • 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 2019-08-31
  • 项目状态:
    已结题

项目摘要

This capacity building project seeks to addresses the lack of opportunities for students for experiential learning of Cybersecurity. Although there is no overall shortage of labs anymore, many instructors do not feel comfortable using them in their courses. This project has a potential to help many instructors to provide hands-on learning opportunities to their students. The project is based on the 30 SEED labs, which were developed and tested by the PI over the last ten years and are used by over 150 instructors from 26 countries. These labs cover a wide spectrum of security principles and they have proven to be effective in enhancing student learning. The project will also develop new labs to cover a timely topic in Cybersecurity education: security in mobile computing. The NSF's CyberCorps® SFS program funds projects that address cybersecurity education and workforce development. The Scholarship Track provides funding to award scholarships to students in cybersecurity. In return for their scholarships, recipients will work after graduation for a Federal, State, Local, or Tribal Government organization in a position related to cybersecurity for a period equal to the length of the scholarship. The Capacity Track seeks innovative proposals leading to an increase in the ability of the United States higher education enterprise to produce cybersecurity professionals. There are two specific objectives of this project: 1) to dramatically increase the number of users of the SEED labs by organizing several summer workshops with about 30 participants each and by developing free online course modules, one for each lab, using one of the existing Massive Online Open Courses (MOOC) platforms; and 2) to develop new hands-on labs to address security of mobile devices which have introduced their unique Cybersecurity problems. The ultimate goal of this project is to make a transformative impact on academic institutions offering Cybersecurity courses. The project sets its goal to reach 700 schools, or about 15 percent of all universities and colleges in the United States. This will create a strong community that will carry the objectives of this project far beyond its expiration date. The project will also cultivate the integration of education and research in the area of mobile system security. The proposed Mobi-SEED labs are derived from the cutting-edge research projects on mobile-system security.
这一能力建设项目旨在解决学生缺乏网络安全体验式学习的机会。尽管实验室不再全面短缺,但许多教师对在课程中使用它们感到不舒服。这个项目有可能帮助许多教师为他们的学生提供实践学习的机会。该项目以30个种子实验室为基础,这些实验室是由国际和平研究所在过去十年中开发和测试的,有来自26个国家的150多名教师使用。这些实验涵盖了广泛的安全原则,事实证明它们在增强学生学习方面是有效的。该项目还将开发新的实验室,以涵盖网络安全教育中的一个及时主题:移动计算的安全。NSF的CyberCorps®SFS计划为解决网络安全教育和劳动力发展的项目提供资金。奖学金项目提供资金,为网络安全专业的学生提供奖学金。作为奖学金的回报,获奖者毕业后将在联邦、州、地方或部落政府组织中与网络安全有关的职位工作一段相当于奖学金期限的时间。能力轨道寻求创新建议,以提高美国高等教育企业培养网络安全专业人员的能力。该项目有两个具体目标:1)通过组织几个夏季研讨会,每个约30人,并利用现有的大型在线开放课程(MOOC)平台之一,为每个实验室开发一个免费在线课程模块,大幅增加SEED实验室的用户数量;以及2)开发新的动手实验室,以解决移动设备带来的独特网络安全问题。该项目的最终目标是对提供网络安全课程的学术机构产生变革性的影响。该项目的目标是覆盖700所学校,约占美国所有大学和学院的15%。这将创建一个强大的社区,使该项目的目标远远超过其到期日。该项目还将在移动系统安全领域培育教育和研究的融合。拟议的Mobi-Seed实验室源于移动系统安全方面的尖端研究项目。

项目成果

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Wenliang Du其他文献

Hey, You, Get Off of My Image: Detecting Data Residue in Android Images
嘿,你,离开我的图像:检测 Android 图像中的数据残留
The SEED Internet Emulator and Its Applications in Cybersecurity Education
SEED 互联网模拟器及其在网络安全教育中的应用
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wenliang Du;Honghao Zeng
  • 通讯作者:
    Honghao Zeng
Mitigating DOS attacks against signature-based broadcast authentication in wireless sensor networks
减轻针对无线传感器网络中基于签名的广播身份验证的 DOS 攻击
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    P. Ning;An Liu;Wenliang Du
  • 通讯作者:
    Wenliang Du
Context Sensitive Anomaly Monitoring of Process Control Flow to Detect Mimicry Attacks and Impossible Paths
过程控制流的上下文敏感异常监控以检测模仿攻击和不可能路径
SEED: A Suite of Instructional Laboratories for Computer Security Education
SEED:计算机安全教育教学实验室套件
  • DOI:
    10.1145/1348713.1348716
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wenliang Du;Ronghua Wang
  • 通讯作者:
    Ronghua Wang

Wenliang Du的其他文献

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{{ truncateString('Wenliang Du', 18)}}的其他基金

SaTC: EDU: Building an Internet Emulator for Cybersecurity Education
SaTC:EDU:构建用于网络安全教育的互联网模拟器
  • 批准号:
    2214916
  • 财政年份:
    2022
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
SaTC: CORE: Small: Expanding TrustZone: Enabling Mobile Apps to Transparently Leverage TrustZone for Attestation and Data Protection
SaTC:核心:小型:扩展 TrustZone:使移动应用程序能够透明地利用 TrustZone 进行证明和数据保护
  • 批准号:
    1718086
  • 财政年份:
    2017
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
EDU: Collaborative: Bolstering Security Education through Transiting Research on Browser Security
EDU:协作:通过浏览器安全的过渡研究加强安全教育
  • 批准号:
    1318883
  • 财政年份:
    2013
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
TWC: Small: Develop Fine-Grained Access Control for Third-Party Components in Mobile Systems
TWC:小型:为移动系统中的第三方组件开发细粒度的访问控制
  • 批准号:
    1318814
  • 财政年份:
    2013
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
TC: Small: To Configure or to Implement, That is the Access Control Question for Web Applications
TC:小:配置还是实现,这就是Web应用程序的访问控制问题
  • 批准号:
    1017771
  • 财政年份:
    2010
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
SEED: Developing Instructional Laboratories for Computer Security Education
SEED:开发计算机安全教育教学实验室
  • 批准号:
    0618680
  • 财政年份:
    2007
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
Collaborative Research: Trustworthy and Resilient Location Discovery in Wireless Sensor Networks
合作研究:无线传感器网络中可信且有弹性的位置发现
  • 批准号:
    0430252
  • 财政年份:
    2004
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Continuing Grant
Developing An Instructional Operating System For Computer Security Course Laboratories
为计算机安全课程实验室开发教学操作系统
  • 批准号:
    0231122
  • 财政年份:
    2003
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
Collaborative Research: ITR: Distributed Data Mining to Protect Information Privacy
合作研究:ITR:分布式数据挖掘保护信息隐私
  • 批准号:
    0312366
  • 财政年份:
    2003
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Standard Grant
ITR: Private Prediction Using Selective Models
ITR:使用选择性模型的私人预测
  • 批准号:
    0219560
  • 财政年份:
    2002
  • 资助金额:
    $ 82.74万
  • 项目类别:
    Continuing Grant

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控制豆科作物器官大小关键基因BIG SEEDS1的功能与应用研究
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