Developing Innovative Privacy Learning Modules to Engage Students in Cybersecurity Education
Developing Innovative Privacy Learning Modules to Engage Students in Cybersecurity Education
批准号:
1712496
负责人:
Na Li
金额:
$30.0万
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
项目状态:
已结题
起止时间:
2017-08-15 至 2023-07-31
中文摘要
随着云计算、社交网络、移动的应用等互联网服务的快速发展,隐私保护问题日益受到产业界和学术界的重视。对信息安全的需求达到了历史最高水平,造成了国家劳动力的紧急短缺。尽管公认的和关键的社会需求,隐私教育还没有令人满意地整合到本科计算机科学(CS)课程。严重缺乏有效的学习材料,以帮助学生了解关键的隐私概念和获得动手技能,创造了一个障碍,以扩大隐私教育。为了解决这一问题,并更好地为未来的美国劳动力培养合格的毕业生,来自Prairie View AM& University(PVAMU)和田纳西大学查塔努加分校(UTC)的研究人员将合作开发关于隐私保护的实践学习材料,并探索将隐私最佳地整合到本科生网络安全教育中。该项目通过设计和开发创新的学习模块来服务于国家利益,这些模块涉及联邦资助优先事项确定的前沿隐私主题,以应对缺乏实践经验的问题。隐私和网络安全教育的基础课程。这些新的独立的学习模块与现实世界的动手实验室不仅将丰富CS课程在两个参与机构(PVAMU和UTC),但也确保他们可以很容易地被其他机构采用。通过这些模块,PI将修改相关的CS核心和选修课程,并开发一个新的隐私课程,这将对PVAMU和UTC的CS课程和学生学习产生深远的影响。作为一个HBCU,在PVAMU代表不足的少数民族将受益于这个项目。此外,该项目还将根据学生的学习成果、经验、动机以及对隐私问题的态度来评估体验式学习方法的有效性。项目研究数据、开发的学习模块和教学材料将积极传播给研究和教育界,以使其他机构受益,并丰富NSF网络安全学习材料库。
英文摘要
The rapid development of Internet services such as cloud computing, social networks, and mobile applications has increased attention to privacy protection by both industry and academia. Demand for information security is at an all-time high, creating an urgent shortfall in the national workforce. Despite recognized and critical societal needs, privacy education has not been integrated satisfactorily into undergraduate Computer Science (CS) curricula. A serious lack of effective learning materials to help students understand critical privacy concepts and gain hands-on skills has created a barrier to expanding privacy education. To address this concern and better prepare qualified graduates for the future U.S. workforce, researchers from Prairie View A&M University (PVAMU) and the University of Tennessee at Chattanooga (UTC) will collaboratively develop hands-on learning materials on privacy protection and explore optimal integration of privacy into undergraduate cybersecurity education.This project serves the national interest by designing and develop innovative learning modules on cutting-edge privacy topics identified by federal funding priorities to respond to the lack of hands-on based curriculum in privacy and cybersecurity education. These new self-contained learning modules with real-world hands-on labs will not only enrich the CS curricula at the two participating institutions (PVAMU and UTC), but also ensure that they can be easily adopted by other institutions. With these modules, the PIs will revamp related CS core and elective courses, and develop a new course on privacy, which will have profound impacts on both the CS curriculum and student learning at PVAMU and UTC. As an HBCU, underrepresented minorities at PVAMU will benefit from this project. In addition, the project will evaluate the effectiveness of an experiential learning approach based on student learning outcomes, experiences, and motivation, and attitudes toward privacy issues. Project research data, developed learning modules, and teaching materials will be actively disseminated to the research and educational community to benefit other institutions and enrich the NSF cybersecurity learning material repository.
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IDEAL: An Interactive De-Anonymization Learning System
IDEAL:交互式去匿名学习系统
DOI:
10.1109/compsac48688.2020.0-210
发表时间:
2020
期刊:
and Applications Conference
影响因子:
--
作者:
[Li, Na, Murugesan, Rajkumar, Li, Lin, Zheng, Hao]
通讯作者:
Zheng, Hao
DOI:
--
发表时间:
2020
期刊:
Online social networks and media
影响因子:
--
作者:
[Li, Na, Das, Sajal K]
通讯作者:
Das, Sajal K
Facelock―A Labware for Teaching Photo Privacy in Online Social Networks Through Face Recognition
Facelock——一款通过人脸识别教授在线社交网络中照片隐私的实验室软件
DOI:
--
发表时间:
2020
期刊:
Journal of computing sciences in colleges
影响因子:
--
作者:
[Shormin, Sadia, Li, Lin, Li, Na]
通讯作者:
Li, Na
DOI:
10.1109/bdcat56447.2022.00029
发表时间:
2022-12
期刊:
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
影响因子:
--
作者:
[Jialin Liu;Lin Li;Na Li]
通讯作者:
Jialin Liu;Lin Li;Na Li
Hands-on Lab Development for Policy Violations in Voice Personal Assistants
语音个人助理政策违规的实践实验室开发
DOI:
--
发表时间:
2023
期刊:
Journal of computing sciences in colleges
影响因子:
--
作者:
[Sanchez, Alejandra Enriquez, Ogunbowale, Oludare, Adetola, Olayinka, Li, Na]
通讯作者:
Li, Na
共 9 条
Planning: Assessing Cyber Victimization Risk of Job Searching in the Hybrid World
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批准号:2331984
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项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2023
-
负责人:Na Li
-
依托单位:
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
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批准号:2003111
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2020
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负责人:Na Li
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依托单位:
EAGER: Real-Time: Learning, Selection, and Control in Residential Demand Response for Grid Reliability
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批准号:1839632
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2018
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负责人:Na Li
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依托单位:
CAREER: Optimization, Control, and Incentive Design for Power Networks with High Levels of Distributed Energy Resources
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批准号:1553407
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2016
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负责人:Na Li
-
依托单位:
Collaborative Research: Towards Communication-Cognizant Voltage Regulation and Energy Management for Power Distribution Systems
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批准号:1608509
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项目类别:Standard Grant
-
资助金额:$22.11万
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财政年份:2016
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负责人:Na Li
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依托单位:
海外基金