Collaborative Project: Enriching Security Curricula and Enhancing Awareness of Security in Computer Science and Beyond
合作项目:丰富安全课程并增强计算机科学及其他领域的安全意识
基本信息
- 批准号:1241661
- 负责人:
- 金额:$ 16.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2014-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project is building our nation's capacity to develop a workforce well trained in computer security. Faculty from the University of Houston, University of Houston-Downtown and Texas Southern University, are developing interactive courseware and conducting workshops on the latest machine learning, data mining, natural language processing and statistics techniques as applied to computer security. Courseware on security-critical domains such as wireless sensor networks, and on key societal privacy and security concerns is also being developed. Workshops are being organized to cross-fertilize security curricula with related fields and topics and to develop a broad-based consensus on courseware contents. In addition to interactive courseware for security courses, materials are being developed to infuse security topics and increase awareness of information assurance in the broader computer science curriculum and, beyond computer science, in other STEM disciplines. A hypertextbook integrating the courseware is being implemented.Through faculty workshops, a community of information assurance education and research scholars is being created. This community will build bridges between information assurance professionals and professionals in related fields. The workshops are training diverse groups of faculty from different types of institutions. Courseware and other results are available in the National Science Digital Library as well as at a project-specific web site which also links to exemplary courseware developed elsewhere. Courseware and workshops are being rigorously evaluated.
该项目正在建设我国培养一支训练有素的计算机安全工作队伍的能力。 来自休斯顿大学,休斯顿市中心大学和得克萨斯南方大学的教师正在开发交互式课件,并就应用于计算机安全的最新机器学习,数据挖掘,自然语言处理和统计技术举办研讨会。 关于安全关键领域(如无线传感器网络)以及关键社会隐私和安全问题的课程也在开发中。目前正在举办讲习班,使安全课程与相关领域和专题相互交流,并就课件内容达成广泛共识。 除了用于安全课程的交互式课件外,正在开发材料,以在更广泛的计算机科学课程以及计算机科学之外的其他STEM学科中融入安全主题并提高对信息保障的认识。 目前正在实施一个整合了课件的超级教科书,并通过教师讲习班,创建了一个信息保障教育和研究学者社区。 该社区将在信息保障专业人员和相关领域的专业人员之间建立桥梁。这些讲习班正在培训来自不同类型机构的各类教员。 课程和其他成果可在国家科学数字图书馆以及一个项目特定的网站上获得,该网站还链接到其他地方开发的示范性课件。 正在对课程和讲习班进行严格评估。
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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Ping Chen其他文献
Interactive Visualization of Large High-Dimensional Datasets
大型高维数据集的交互式可视化
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Wei Ding;Ping Chen - 通讯作者:
Ping Chen
[Detection of aspiration of nasopharyngeal secretion and the relationship between the aspiration of nasopharyngeal secretion and the incidence of pneumonia].
鼻咽分泌物误吸检测及鼻咽分泌物误吸与肺炎发病的关系[J].
- DOI:
10.3760/cma.j.issn.1001-0939.2015.07.010 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Ni Liu;Zeguang Zheng;Ping Chen;P. Hou;Xinni Wang;Hongyi Li;Rongchang Chen - 通讯作者:
Rongchang Chen
Dynamic Magnetic Properties of Electrospun NiZn Spinel Ferrite Nanofibers
电纺镍锌尖晶石铁氧体纳米纤维的动态磁性能
- DOI:
10.1109/tmag.2014.2325711 - 发表时间:
2014 - 期刊:
- 影响因子:2.1
- 作者:
Ping Chen;Ruixin Wu;J. Xiao - 通讯作者:
J. Xiao
α-hydroxyamide derived aminodiols as potent inhibitors of hiv protease
α-羟基酰胺衍生的氨基二醇作为艾滋病毒蛋白酶的有效抑制剂
- DOI:
10.1016/0960-894x(95)00293-3 - 发表时间:
1995 - 期刊:
- 影响因子:0
- 作者:
Saleem Ahmad;A. Ashfaq;M. Alam;G. Bisacchi;Ping Chen;P. Cheng;J. Greytok;M. Hermsmeier;P. Lin;Karen A. Lis;Z. Merchant;Toomas Mitt;M. Skoog;S. Spergel;J. Tino;G. Vite;R. Colonno;R. Zahler;J. Barrish - 通讯作者:
J. Barrish
Suppression of V-pits formation in InGaN layer by stepped growth with annealing interval
通过退火间隔阶梯生长抑制 InGaN 层中 V 坑的形成
- DOI:
10.1016/j.surfin.2021.101691 - 发表时间:
2022-02 - 期刊:
- 影响因子:6.2
- 作者:
Feng Liang;Degang Zhao;Zongshun Liu;Ping Chen;Jing Yang - 通讯作者:
Jing Yang
Ping Chen的其他文献
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{{ truncateString('Ping Chen', 18)}}的其他基金
Collaborative Research: EAGER: Deep Learning-based Multimodal Analysis of Sleep
合作研究:EAGER:基于深度学习的睡眠多模态分析
- 批准号:
2334665 - 财政年份:2023
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: Study of Neural Architectural Components in Physics-Informed Deep Neural Networks for Extreme Flood Prediction
III:小型:协作研究:用于极端洪水预测的物理信息深度神经网络中的神经架构组件研究
- 批准号:
2008202 - 财政年份:2020
- 资助金额:
$ 16.7万 - 项目类别:
Continuing Grant
III: Small: EAGER: Representation Learning of Connotation and Denotation Knowledge for Atomic Information Units
III:小:EAGER:原子信息单元的内涵和外延知识的表示学习
- 批准号:
1914489 - 财政年份:2019
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
Supporting U.S.-Based Students to Participate in the 2018 IEEE International Conference on Data Mining (ICDM 2018)
支持美国学生参加2018年IEEE数据挖掘国际会议(ICDM 2018)
- 批准号:
1836469 - 财政年份:2018
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
EAGER: Advanced Machine Learning Techniques to Discover Disease Subtypes in Cancer
EAGER:先进的机器学习技术发现癌症疾病亚型
- 批准号:
1743010 - 财政年份:2017
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
Collaborative Project: Enriching Security Curricula and Enhancing Awareness of Security in Computer Science and Beyond
合作项目:丰富安全课程并增强计算机科学及其他领域的安全意识
- 批准号:
1423915 - 财政年份:2014
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
REU Site: Research Experiences in Algorithm Design and Analysis for Students in Undergraduate Institutions
REU网站:本科院校学生算法设计与分析研究经验
- 批准号:
0851984 - 财政年份:2009
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
Collaborative Research: An Interactive Undergraduate Data Mining Course with Industrial-Strength Projects
协作研究:具有工业强度项目的交互式本科数据挖掘课程
- 批准号:
0737408 - 财政年份:2008
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
Collaborative Research: Module-Based Computer Security Courses and Laboratory for Small and Medium Sized Universities
合作研究:中小型大学基于模块的计算机安全课程和实验室
- 批准号:
0311385 - 财政年份:2003
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
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