Collaborative Research: CHEESE: Cyber Human Ecosystem of Engaged Security Education

普渡大学和伊利诺伊大学厄巴纳-香槟分校的这个项目提议在一个动态的、公开的、基于网络的学习平台上开发一套网络安全学习工具，旨在将网络安全研究人员、教育工作者、从业者和学生聚集在一起。通过网络界面展示这些学习工具，该项目旨在使安全教育和实践活动易于使用和访问。除了补充传统的网络安全教学外，更广泛的目标是创建一个网络安全学习生态系统，该生态系统不断更新网络安全研究的新兴趋势以及最近发现的安全攻击。研究人员将从社区大学、少数族裔服务机构和网络安全女性等组织的广大学生和教师群体中寻求这两个领域的贡献，同时纳入鼓励贡献的奖励机制。拟议的参与式安全教育（CHEESE）平台的网络人类生态系统将采用国家数据服务（NDS）实验室工作台和容器技术，以托管越来越多的用户贡献的、可公开访问的各种网络安全概念演示。容器技术为每个用户提供了完全独立的工作环境，并以最小的工作量简化了随后向其他平台的转移。NDS Workbench为容器管理、开发和编排功能提供了一个用户界面，大大简化了贡献和启动这些容器化应用程序的过程，同时根据使用量的增加自动扩展资源。CHEESE将吸引广泛的用户社区，包括教师、高中教师、学生、研究人员和专业人员，以请求、贡献和评估托管的网络安全演示。奶酪在传授实用网络安全知识方面的有效性将在几个本科和研究生网络安全课程中进行评估。各种组织，如IEEE、大数据中心和网络安全女性将利用CHEESE开展培训和外展活动，以扩大核心用户社区以外的社区参与。CHEESE将帮助培养具有网络安全素养的员工队伍，他们可以从之前的网络安全事件中学习，并采用最新的工具和安全编码实践，以避免与这些事件相关的常见陷阱。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。

This project from Purdue University and the University of Illinois at Urbana-Champaign proposes to develop a set of cybersecurity learning tools on a dynamic, publicly available, web-based learning platform aimed at bringing together a community of cybersecurity researchers, educators, practitioners and students. By presenting these learning tools exclusively through a web interface, this project aims to enable ease of use and access to security education and hands-on activities. In addition to supplementing traditional cybersecurity instruction, the broader goal is to create a cybersecurity learning ecosystem that is continually updated with emerging trends in cybersecurity research as well as recently discovered security attacks. The researchers will seek contributions in both these areas from a broad community of students and faculty at community colleges, minority-serving institutions and organizations such as Women in Cybersecurity, while incorporating reward mechanisms that encourage contribution. The proposed Cyber Human Ecosystem of Engaged Security Education (CHEESE) platform will employ the National Data Service (NDS) Labs Workbench and container technology to host a growing collection of user-contributed publicly accessible demonstrations of diverse cybersecurity concepts. Container technology provides completely independent work environments for each user and simplifies the subsequent transfer to other platforms with minimal effort. The NDS Workbench provides a user interface to container management, development and orchestration capabilities that greatly simplify the process of contributing and launching these containerized applications while automatically scaling resources in response to increased usage. CHEESE will engage a broad community of users ranging from faculty, high school teachers, students to researchers and professionals to request, contribute and evaluate the hosted cybersecurity demonstrations. The effectiveness of CHEESE in imparting practical cybersecurity knowledge will be evaluated in several undergraduate and graduate cybersecurity courses. Various organizations such as the IEEE, Big Data Hubs and Women in Cybersecurity will be leveraged to conduct training and outreach events using CHEESE to broaden community participation beyond the core user community. CHEESE will help develop a cybersecurity literate workforce that can learn from prior cybersecurity incidents and employ the latest tools and secure coding practices to avoid common pitfalls associated with these incidents.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.