SaTC: EDU: Collaborative: Advancing Cybersecurity Learning Through Inquiry-based Laboratories on a Container-based Virtualization Platform

SaTC：EDU：协作：通过基于容器的虚拟化平台上的探究实验室推进网络安全学习

• 批准号: 1912753
• 负责人: Zhipeng Cai
• 金额: $ 33.14万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1912753&HistoricalAwards=false
• 关键词: SaTC; EDU; Collaborative; Advancing; Cybersecurity

It is critical to educate and train a cybersecurity-capable workforce in an era where security breaches, privacy violations, and phishing scams have become commonplace. However, due to the complicated and abstract nature of many cybersecurity concepts and techniques, it is challenging for students to comprehend them in an effective manner. To address this challenge, this project seeks to create innovative learning materials and tools that can help transform the status quo of cybersecurity education. The project design is based on the inquiry-based learning model and enabled by recent advances in virtualization technology. Specifically, this project consists of a set of inquiry-based, hands-on laboratories that are hosted on an affordable, scalable, extensible, and low-maintenance container-based virtualization platform. This project meets the pressing and essential needs in cybersecurity curricula by aiding the development of new lab materials and courses for community and four-year colleges. In this project, three types of hands-on labs will be designed and developed: Outreach, Core, and Advanced. Outreach labs are designed specifically for community college students to inspire their curiosity and interest in cybersecurity, and thus, to drive them to continue their study in a 4-year college. The key purpose of the core labs is to assist the learning of complicated cybersecurity concepts and technologies. The advanced labs aim at not only introducing emerging security technologies, but also inspiring students who are interested in doing research in these areas. All of our lab materials and software tools will be open-source and available to learners, educators, and researchers. Lastly, training on the container-based cloud computing platform will be offered to instructors and graduate students.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.

在一个安全漏洞、侵犯隐私和网络钓鱼骗局变得司空见惯的时代，教育和培训一支具有网络安全能力的员工队伍至关重要。然而，由于许多网络安全概念和技术的复杂性和抽象性，对学生来说，以有效的方式理解它们是一项挑战。为了应对这一挑战，该项目寻求创造创新的学习材料和工具，以帮助改变网络安全教育的现状。项目设计基于基于查询的学习模型，并由最新的虚拟化技术支持。具体地说，这个项目包括一组基于查询的、实际操作的实验室，这些实验室托管在一个价格合理、可伸缩、可扩展和低维护的基于容器的虚拟化平台上。该项目通过帮助社区和四年制大学开发新的实验材料和课程，满足了网络安全课程的迫切和基本需求。在这个项目中，将设计和开发三种类型的动手实验室：扩展、核心和高级。外展实验室是专门为社区大学生设计的，旨在激发他们对网络安全的好奇心和兴趣，从而推动他们继续在四年制大学的学习。核心实验室的主要目的是协助学习复杂的网络安全概念和技术。这些先进的实验室不仅旨在介绍新兴的安全技术，还旨在激励有兴趣在这些领域进行研究的学生。我们所有的实验材料和软件工具都将是开源的，可供学习者、教育工作者和研究人员使用。最后，将为教师和研究生提供基于容器的云计算平台培训。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Towards Neural Network-Based Communication System: Attack and Defense

• DOI: 10.1109/tdsc.2022.3203965
• 发表时间: 2023-07
• 期刊: IEEE Transactions on Dependable and Secure Computing
• 影响因子: 7.3
• 作者: Zuobin Xiong;Zhipeng Cai;Chun-qiang Hu;Daniel Takabi;Wei Li

Efficient CityCam-to-Edge Cooperative Learning for Vehicle Counting in ITS

• DOI: 10.1109/tits.2022.3149657
• 发表时间: 2022-09
• 期刊: IEEE Transactions on Intelligent Transportation Systems
• 影响因子: 8.5
• 作者: Honghui Xu;Zhipeng Cai;Ruinian Li;Wei Li

zkCrowd: A Hybrid Blockchain-Based Crowdsourcing Platform

• DOI: 10.1109/tii.2019.2941735
• 发表时间: 2020-06
• 期刊: IEEE Transactions on Industrial Informatics
• 影响因子: 12.3
• 作者: Saide Zhu;Zhipeng Cai;Huafu Hu;Yingshu Li;Wei Li

Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT

• DOI: 10.1109/tii.2021.3073925
• 发表时间: 2022-02-01
• 期刊: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
• 影响因子: 12.3
• 作者: Xiong, Zuobin;Cai, Zhipeng;Li, Wei
• 通讯作者: Li, Wei

Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing

• DOI: 10.1109/tmc.2020.2987881
• 发表时间: 2021-08-01
• 期刊: IEEE TRANSACTIONS ON MOBILE COMPUTING
• 影响因子: 7.9
• 作者: Cai, Zhipeng;Duan, Zhuojun;Li, Wei
• 通讯作者: Li, Wei