SATC: EDU: Curriculum Development for Secure Blockchain Technologies
SATC:EDU:安全区块链技术课程开发
基本信息
- 批准号:1931800
- 负责人:
- 金额:$ 49.96万
- 依托单位:
- 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
- 起止时间:2020-01-01 至 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
在政府和行业中,区块链技术的广泛采用已导致对经过充分培训的劳动力的需求增加,并能够应对利用现实世界中区块链平台的挑战。当前的区块链专业知识的缺口使一个令人信服的案例支持将该领域的全面课程纳入网络安全教育。 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种课程,从而增强其当前的网络安全和隐私计划。 UT Dallas建议建立一个教学大纲,以鼓励有兴趣的学生在区域链上获得区块链的经验,重点是建筑和应用程序。该课程将使学生熟悉各种区块链概念,包括采矿算法,智能合约以及各种共识算法,例如工作证明,股份证明,股票证明等。此外,该课程将通过使用机器学习方法来解决通过代码重写和漏洞检测的智能合约保护等安全问题。此外,该课程将涵盖在物联网数据管理和数据出处应用区块链技术的各种案例研究。 UT Dallas正在进行的研究将开发新技术,这些技术将纳入该项目。这些技术是新颖的,并且不容易从其他来源获得。例如,UT达拉斯关于保护智能合约和智能合同中漏洞的检测的研究将通过此拟议的顶峰课程进行传播。顶峰课程将由与安全区块链及其应用有关的几个模块和动手活动组成。在参加了这些课程之后,学生将具有将理论结果应用于现实世界应用的经验。通过参与现实的项目,他们将对区块链平台的工具和技术在多个学科中渗透到如何渗透到清晰的看法。将不断评估学生的表现,以评估课程课程的效率并开始必要的改进。该项目有潜力为培训区块链技术工作者提供专门满足行业和政府需求的技能的培训。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子和更广泛影响的评估评估来支持的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Latifur Khan其他文献
Wi-Fiの信号強度を用いた自律分散強調学習による広域自己位置推定
使用 Wi-Fi 信号强度的自主分布式重点学习进行广域自身位置估计
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩 - 通讯作者:
杉崎勇介・落合秀也・江崎 浩
無線アドホック連合学習 ~ 完全分散型の協調的機械学習 ~
无线临时联邦学习 - 全分布式协作机器学习 -
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Hossain Md Delwar;Hideya Ochiai;Latifur Khan;Youki Kadobayashi;落合秀也 - 通讯作者:
落合秀也
Wireless Ad-Hoc Federated Learningにおける前方誤り訂正による機械学習モデルの交換手法
无线自组织联合学习中使用前向纠错的机器学习模型交换方法
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩;伊藤吉彦・落合秀也・江崎 浩;江口航志・落合秀也・江崎 浩;長屋健太郎・落合秀也・江崎 浩 - 通讯作者:
長屋健太郎・落合秀也・江崎 浩
Ontology based policy interoperability in geo-spatial domain
- DOI:
10.1016/j.csi.2010.03.011 - 发表时间:
2011-03-01 - 期刊:
- 影响因子:
- 作者:
Mohammad Farhan Husain;Tahseen Al-Khateeb;Mohmmad Alam;Latifur Khan - 通讯作者:
Latifur Khan
A Transparent Blockchain-Based College Admissions Platform
透明的基于区块链的大学招生平台
- DOI:
10.1109/smartcloud58862.2023.00029 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Latifur Khan;B. Thuraisingham;Sadaf Md. Halim - 通讯作者:
Sadaf Md. Halim
Latifur Khan的其他文献
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{{ truncateString('Latifur Khan', 18)}}的其他基金
Research and Educational Activities at IEEE International Conference on Data Engineering (ICDE) 2020
2020 年 IEEE 国际数据工程会议 (ICDE) 的研究和教育活动
- 批准号:
2019682 - 财政年份:2020
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: SaTC-EDU: Secure and Privacy-Preserving Adaptive Artificial Intelligence Curriculum Development for Cybersecurity
合作研究:EAGER:SaTC-EDU:安全和隐私保护的网络安全自适应人工智能课程开发
- 批准号:
2039542 - 财政年份:2020
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
Collaborative Research: ATD: Statistical Detection of New Patterns and Potential Threats in Geospatial Sequences of Social and Political Events
合作研究:ATD:社会和政治事件地理空间序列中新模式和潜在威胁的统计检测
- 批准号:
1737978 - 财政年份:2017
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
Virtual Laboratory and Curriculum Development for Secure Mobile Computing
安全移动计算的虚拟实验室和课程开发
- 批准号:
1516425 - 财政年份:2015
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
MRI: Development of an Instrument for Assured Cloud Computing
MRI:开发有保障的云计算仪器
- 批准号:
1229652 - 财政年份:2012
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
Travel Grant for International Symposium on Spatial and Temporal Databases (SSTD), 2011
时空数据库国际研讨会 (SSTD) 旅费资助,2011
- 批准号:
1133452 - 财政年份:2011
- 资助金额:
$ 49.96万 - 项目类别:
Standard Grant
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