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SATC: EDU: Curriculum Development for Secure Blockchain Technologies

SATC: EDU: Curriculum Development for Secure Blockchain Technologies
SATC:EDU:安全区块链技术课程开发
批准号:
1931800
负责人:
Latifur Khan
金额:
$49.96万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2024-12-31

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项目成果

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中文摘要
翻译
区块链技术在政府和行业中的广泛采用,增加了对受过充分培训并能够应对在现实世界中利用区块链平台的挑战的劳动力的需求。目前区块链专业知识的不足使得支持将这一领域的综合课程纳入网络安全教育的案例引人注目。德克萨斯大学达拉斯分校(UT Dallas)将利用其在区块链技术方面的专业知识来创建这样的课程,以加强其目前在网络安全和隐私方面的项目。达拉斯德州大学建议建立一个教学大纲,鼓励有兴趣的学生获得区块链的经验,重点是建筑和应用。本课程将让学生熟悉各种区块链概念,包括挖掘算法,智能合约,以及比特币,门罗币和以太坊区块链上使用的各种共识算法,如工作量证明,权益证明等。此外,该课程将通过使用机器学习方法重写代码和漏洞检测来解决安全问题,例如智能合约保护。此外,课程还将涵盖区块链技术在物联网数据管理和数据来源中的应用案例。达拉斯德州大学正在进行的研究将开发新技术,这将纳入该项目。这些技术是新颖的,不容易从其他来源获得。例如,德州大学达拉斯分校关于保护智能合约和检测智能合约漏洞的研究将通过这一拟议的顶点课程进行传播。顶点课程将包括与安全b区块链及其应用相关的几个模块和实践活动。在完成这些课程后,学生将有将理论结果应用于现实世界的经验。通过参与实际项目,他们将对区块链平台的工具和技术如何跨多个学科渗透有一个清晰的认识。学生的表现将被持续评估,以衡量课程的效率,并提出必要的改进。该项目有可能有助于培训具有专门满足工业和政府需要的技能的bb100技术工人。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The widespread adoption of Blockchain technologies, both in government and industry, has given rise to an increased demand for a workforce that is adequately trained and able to cope with the challenges of leveraging the Blockchain platform in the real world. Current shortfalls in Blockchain expertise make a compelling case in favor of incorporating a comprehensive curriculum in this field into Cybersecurity education. The University of Texas at Dallas (UT Dallas) will enhance its current programs in cybersecurity and privacy by leveraging its expertise in Blockchain technology to create such a curriculum. UT Dallas proposes to build a syllabus to encourage interested students to gain experience in Blockchain with a focus on architecture and applications. The course will familiarize students with a variety of Blockchain concepts including mining algorithms, smart contracts, and various consensus algorithms such as Proof-of-Work, Proof-of-Stake, etc. used on Bitcoin, Monero and Ethereum Blockchain. Furthermore, the course will address security concerns such as smart contract protection through code rewriting and vulnerability detection using machine learning method. In addition, the course will cover various case studies in applying Blockchain technology in IoT data management and data provenance. UT Dallas ongoing research will develop new techniques which will be incorporated in this project. These techniques are novel and are not readily available from other sources. For example, UT Dallas research on protecting smart contracts and detection of vulnerabilities in smart contracts will be disseminated via this proposed capstone course. The capstone course will consist of several modules and hands-on activities related to secure blockchain and its applications. After taking these courses, students will have experience with applying theoretical results to real world applications. By engaging in realistic projects, they will gain a clear perspective on how the tools and techniques of Blockchain platform permeate across multiple disciplines. The performance of the students will be evaluated continually to gauge the efficiency of the course curriculum and to initiate necessary improvements. The project has the potential to contribute to the training of Blockchain technology workers with skills specifically catered to industry and government needs.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.
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Research and Educational Activities at IEEE International Conference on Data Engineering (ICDE) 2020
  • 批准号:
    2019682
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2020
  • 负责人:
    Latifur Khan
  • 依托单位:
Collaborative Research: EAGER: SaTC-EDU: Secure and Privacy-Preserving Adaptive Artificial Intelligence Curriculum Development for Cybersecurity
  • 批准号:
    2039542
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.99万
  • 财政年份:
    2020
  • 负责人:
    Latifur Khan
  • 依托单位:
Collaborative Research: ATD: Statistical Detection of New Patterns and Potential Threats in Geospatial Sequences of Social and Political Events
  • 批准号:
    1737978
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2017
  • 负责人:
    Latifur Khan
  • 依托单位:
Virtual Laboratory and Curriculum Development for Secure Mobile Computing
  • 批准号:
    1516425
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.96万
  • 财政年份:
    2015
  • 负责人:
    Latifur Khan
  • 依托单位:
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: