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SaTC: EDU: Advancing Cybersecurity Education through Self-Learning Cybersecurity Training Kit

SaTC: EDU: Advancing Cybersecurity Education through Self-Learning Cybersecurity Training Kit
SaTC:EDU:通过自学网络安全培训套件推进网络安全教育
批准号:
1723687
负责人:
Swaroop Ghosh
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2022-01-31

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中文摘要
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英文摘要
There is an exponential growth in the number of cyber-attack incidents resulting in significant financial loss and national security concerns. A secure cyberspace has been designated as one of the National Academy of Engineering Grand Challenges in engineering. Broadly, security threats are targeted on software programs, operating systems and networks with the intention to launch cyber-attacks. There is a need to increase student-centered, inquiry-based teaching approaches in cybersecurity as these are known to improve student learning outcomes. A comprehensive understanding can be achieved with a hands-on course on cybersecurity, where students can learn key concepts and get hands-on experience making changes to hardware, software, operating systems, and, network policies. This project proposes a self-learning, hands-on Cybersecurity Training (CST) Kit, which will be accompanied by Do-It-Yourself training modules that can be used to model and investigate cybersecurity issues and strategies for prevention. It can be customized to a wide range of cybersecurity stakeholders, including undergraduate and graduate students, K-12 science and technology teachers, industry professionals and the community at large. This project will advance cybersecurity education among students and professionals through the use the CST Kit and training modules, which will allow students to immediately apply newly acquired knowledge as part of the learning process.The CST kit will cover all aspects of cybersecurity issues including, hardware, software, operating system and network security. A 3-tier coursework will be developed to provide cybersecurity education to Junior and Senior-level undergraduate students, graduate students and professionals. Pilot Tier-1 and Tier-2 courses will be introduced to assess the learning modules and the CST Kit. The Kit hardware and software will be customizable to allow for easy adoption in a wide range of academic and professional levels. The components of the CST Kit will be used to foster interest in cybersecurity with underrepresented and underserved students at the high school and community college level. Approaches for cybersecurity education will be enhanced by increased student engagement though the proposed Classroom Cybersecurity Challenges. The developed training modules combined with the Challenges activity will provide quality curriculum for K-12 computer science courses linking computer science and broader areas of STEM education.
期刊论文(27)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/tvlsi.2022.3170542
发表时间: 2020-11
期刊: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
影响因子: 2.8
作者: [Sina Sayyah Ensan;Swaroop Ghosh;Seyedhamidreza Motaman;Derek Weast]
通讯作者: Sina Sayyah Ensan;Swaroop Ghosh;Seyedhamidreza Motaman;Derek Weast
Power side channel attack analysis and detection
电源侧通道攻击分析与检测
DOI: --
发表时间: 2020
期刊: international conference on computer-aided design
影响因子: --
作者: [Gattu, Navyata and]
通讯作者: Gattu, Navyata and
DOI: 10.1109/tcad.2020.2984407
发表时间: 2020-12
期刊: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
影响因子: 2.9
作者: [Asmit De;Aditya Basu;Swaroop Ghosh;T. Jaeger]
通讯作者: Asmit De;Aditya Basu;Swaroop Ghosh;T. Jaeger
DOI: 10.1109/vlsid2022.2022.00034
发表时间: 2021-05
期刊: 2022 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems (VLSID)
影响因子: --
作者: [Asmit De;Swaroop Ghosh]
通讯作者: Asmit De;Swaroop Ghosh
25
    SaTC: CORE: Small: SLIQ: Securing Large-Scale Noisy-Intermediate Scale Quantum Computing
    FET:Medium: Drug discovery using quantum machine learning
    SaTC: EDU: A Curriculum for Quantum Security and Trust
    NSF Convergence Accelerator - Track C: SQAI: Scalable Quantum Artificial Intelligence for Discovery
    国内基金
    海外基金
    EDU增强冬小麦O3抗性的生理生态学机制研究
    • 批准号:
      --
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30万元
    • 批准年份:
      2022
    • 负责人:
      代碌碌
    • 依托单位: