Capacity Building: Collaborative Research: Integrated Learning Environment for Cyber Security of Smart Grid
能力建设:协作研究:智能电网网络安全的集成学习环境
基本信息
- 批准号:1303359
- 负责人:
- 金额:$ 15.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-15 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ensuring the cyber-security of the smart grid raises significant interest amongst both general public and researchers. However, the corresponding education programs fall behind in many aspects. Very limited curriculum or hands-on learning resources are available for security education about the smart grid, especially for the mutual impacts between cyber and physical systems. To bridge this gap, this project is developing an integrated simulation environment dedicated to smart grid education programs, and is designing a suite of course modules and hands-on projects focusing on security of modern power systems. Through federating the control network simulator with the Power Grid Simulator Program, this project covers both cyber and physical systems underpinning smart grid operations. The research team is carrying out well-planned evaluation and dissemination activities to assess the effectiveness of the innovative instructional materials and promote their wide adoption. Rigorous evaluation procedures are being used by experienced independent evaluators. The research team is implementing the new instructional materials in six courses at three participating institutions, and the project is promoting the wide adoption of the approaches through two faculty development workshops.Intellectual Merits: This project is designing a first-of-its-kind smart grid simulation environment dedicated to security education programs that covers both cyber and physical systems. This environment and the educational materials provide transformative learning experiences for students on future electric energy systems and promote research and education in this interdisciplinary field. Through the dissemination efforts such as faculty development workshops and outreach activities, the project establishes a student education and training pipeline that attracts high school students to CS and EE majors, equips college students with much needed cyber and physical knowledge and skills for secure power systems, and prepares them for the challenges of working in the future power industry.Broader Impacts: This project provides a new method to train qualified workforce to fill tens of thousands of open positions in the fast evolving smart grid industry and improve the sustainability and security of future power systems. The project provides interdisciplinary research experiences in cyber-physical systems involving power grid, networks, and security to both graduate and undergraduate students. Minority and under-represented students also benefit from the project.
确保智能电网的网络安全引起了公众和研究人员的极大兴趣。然而,相应的教育计划在很多方面都落后了。可用于智能电网安全教育的课程或实践学习资源非常有限,尤其是网络和物理系统之间的相互影响。为了弥补这一差距,该项目正在开发专门用于智能电网教育项目的集成仿真环境,并设计一套专注于现代电力系统安全的课程模块和实践项目。通过将控制网络模拟器与电网模拟器程序联合起来,该项目涵盖了支撑智能电网运营的网络和物理系统。研究团队正在开展精心策划的评估和传播活动,以评估创新教材的有效性并促进其广泛采用。经验丰富的独立评估人员正在使用严格的评估程序。研究团队正在三个参与机构的六门课程中实施新的教学材料,该项目正在通过两个教师发展研讨会促进这些方法的广泛采用。 智力优点:该项目正在设计一种史无前例的智能网格模拟环境致力于安全教育项目,涵盖网络和物理系统。这种环境和教材为学生提供有关未来电能系统的变革性学习体验,并促进这一跨学科领域的研究和教育。通过教师发展研讨会和外展活动等传播工作,该项目建立了学生教育和培训渠道,吸引高中生学习计算机科学和电子工程专业,为大学生提供安全电力系统急需的网络和物理知识和技能,更广泛的影响:该项目提供了一种新方法来培训合格的劳动力,以填补快速发展的智能电网行业中数以万计的空缺职位,并提高未来的可持续性和安全性电力系统。该项目为研究生和本科生提供涉及电网、网络和安全的信息物理系统的跨学科研究经验。少数族裔和代表性不足的学生也从该项目中受益。
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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Yi Pan其他文献
A Multispecific Investigation of the Metal Effect in Mammalian Odorant Receptors for Sulfur-Containing Compounds
哺乳动物气味受体对含硫化合物的金属效应的多特异性研究
- DOI:
10.1093/chemse/bjy022 - 发表时间:
2018-05-23 - 期刊:
- 影响因子:3.5
- 作者:
Ruina Zhang;Yi Pan;Lucky Ahmed;E. Block;Yuetian Zhang;V. Batista;Hanyi Zhuang - 通讯作者:
Hanyi Zhuang
SiC crystal growth from transition metal silicide fluxes
利用过渡金属硅化物助熔剂生长 SiC 晶体
- DOI:
10.1002/crat.200610845 - 发表时间:
2007-05-01 - 期刊:
- 影响因子:1.5
- 作者:
Guangyi Yang;Renbing Wu;M. Gao;Jianjun Chen;Yi Pan - 通讯作者:
Yi Pan
Fast Scalable Algorithm on LARPBS for Sequence Alignment
LARPBS 上用于序列比对的快速可扩展算法
- DOI:
10.1007/11576259_20 - 发表时间:
2005-11-02 - 期刊:
- 影响因子:0
- 作者:
Ling Chen;Juan Chen;Yi Pan - 通讯作者:
Yi Pan
From Dumb Pipes to Rivers of Money: a Network Payment System
从愚蠢的管道到金钱的河流:网络支付系统
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Cristian Estan;Suman Banerjee;Aditya Akella;Yi Pan - 通讯作者:
Yi Pan
A Reliable Metric for Quantifying Multiple Sequence Alignment
量化多序列比对的可靠指标
- DOI:
10.1109/bibe.2007.4375650 - 发表时间:
2007-11-05 - 期刊:
- 影响因子:0
- 作者:
K. Nguyen;Yi Pan - 通讯作者:
Yi Pan
Yi Pan的其他文献
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{{ truncateString('Yi Pan', 18)}}的其他基金
Collaborative Research: Real World Relevant Security Labware for Mobile Threat Analysis and Protection Experience
协作研究:用于移动威胁分析和保护体验的现实世界相关安全实验室软件
- 批准号:
1244665 - 财政年份:2013
- 资助金额:
$ 15.3万 - 项目类别:
Standard Grant
Travel Awards for The 2011 IEEE International Conference on Bioinformatics & Biomedicine
2011 年 IEEE 国际生物信息学会议旅行奖
- 批准号:
1142717 - 财政年份:2011
- 资助金额:
$ 15.3万 - 项目类别:
Standard Grant
(NECO) Collaborative Research: Reliability Modeling for Large-Scale Networking System (LSNS), and Self-Improvement in LSNS
(NECO) 合作研究:大规模网络系统 (LSNS) 的可靠性建模以及 LSNS 的自我改进
- 批准号:
0831634 - 财政年份:2008
- 资助金额:
$ 15.3万 - 项目类别:
Standard Grant
Transmembrane Protein Segment Prediction and Understanding based on Machine Learning Methods
基于机器学习方法的跨膜蛋白片段预测与理解
- 批准号:
0646102 - 财政年份:2006
- 资助金额:
$ 15.3万 - 项目类别:
Standard Grant
High Performance Rough Sets Data Analysis in Data Mining
数据挖掘中的高性能粗糙集数据分析
- 批准号:
0514750 - 财政年份:2005
- 资助金额:
$ 15.3万 - 项目类别:
Standard Grant
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