权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

SaTC: EDU: Captivology-Stimuli-based Learning (CAPITAL) of Big Data Security (BigSec): Towards a Science/Engineering, Career-Oriented Training

SaTC：EDU：大数据安全 (BigSec) 的基于 Captivology-Stimuli 的学习 (CAPITAL)：迈向科学/工程、职业导向的培训

基本信息

批准号：
1723250
负责人：
Fei Hu
金额：
$ 30万
依托单位：
University of Alabama Tuscaloosa
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
起止时间：
2017-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1723250&HistoricalAwards=false
关键词：
SaTC EDU Captivology Stimuli based

项目摘要

Big data applications are widely utilized today in a variety of scientific and social studies. The International Data Corporation (IDC) reports that more than 50% of all big data business revenues originate in the United States. Big data requires "bigger responsibility" in terms of protecting the storage, sharing, and access of the privacy-sensitive data. In today's higher education, there are limited big data security (BigSec) educational activities that target comprehensive and profound understanding of BigSec attack models, as well as defense solutions, at the undergraduate and graduate levels. Some available BigSec training materials are mostly online, used for short-term training, and only cover general concepts from a business management viewpoint. The nation is currently experiencing a shortage of cybersecurity professionals, including the experts in big data security. The goal of this project from the University of Alabama Tuscaloosa is to utilize new pedagogy, called Captivology-Stimuli-based Learning (CAPITAL), for active education and training on big data security and privacy.This project will make two significant contributions to enhance BigSec education. The first is the development of a new series of BigSec course materials, including an undergraduate course, CECS 400/500 Big Data Security, which targets fundamental knowledge of big data security issues, as well as a graduate course, CECS 600 Advanced Topics on Big Data Security and Privacy, which aims to enhance the cybersecurity research skills of graduate students. The second is the implementation of CAPITAL pedagogy in BigSec education. This includes implementation of the flipped classroom model, Virtual Reality based security games, Capstone design showcase, student cybersecurity design competitions, and patent-targeted thesis projects. This project will conduct the pioneering "active" education to train a BigSec-literate workforce. All the BigSec created education materials will be disseminated to other schools.

如今，大数据应用被广泛应用于各种科学和社会研究中。国际数据公司(IDC)报告称，所有大数据业务收入的50%以上来自美国。大数据需要在保护隐私敏感数据的存储、共享和访问方面承担更大的责任。在当今的高等教育中，针对本科生和研究生的大数据安全(BigSec)教育活动有限，目标是全面和深刻地理解BigSec攻击模型以及防御解决方案。一些可用的BigSec培训材料大多是在线的，用于短期培训，仅从企业管理的角度涵盖一般概念。中国目前正经历着网络安全专业人员的短缺，包括大数据安全专家。阿拉巴马大学塔斯卡卢萨分校的这个项目的目标是利用新的教学方法，称为基于捕捉的学习(CAPITAL)，进行关于大数据安全和隐私的积极教育和培训。该项目将为加强BigSec教育做出两项重大贡献。首先是开发一系列新的BigSec课程材料，包括本科课程CECS 400/500大数据安全，目标是大数据安全问题的基础知识，以及研究生课程CECS 600大数据安全和隐私高级主题，旨在增强研究生的网络安全研究技能。二是资本教育法在BigSec教育中的实施。这包括实施翻转课堂模式、基于虚拟现实的安全游戏、Capstone设计展示、学生网络安全设计竞赛和以专利为目标的论文项目。该项目将进行开创性的“主动”教育，培养一支懂BigSec的劳动力队伍。BigSec制作的所有教育材料都将分发给其他学校。