SATC: EDU: Network Design for Security using Protocol Trust Boundary Observations

《网络安全》是电气/计算机工程或计算机科学与技术专业硕士和学士学位课程中典型的核心课程。该项目将“网络安全”与“软件系统安全”联系起来，这是一个新颖的尝试，其中坚实的教育基础已经将威胁建模与有效的工具和相关的防御和缓解技术联系起来。这种新颖的方法使网络安全教育能够使用适用于信息系统安全的相同原则。也就是说，通过将每个网络系统视为软件系统的集合，该项目将能够将为软件系统安全教育开发的技术用于网络安全教育。该项目的主要目标是创建新颖的教学材料，从网络设计过程中内置安全态势的角度教授网络安全，重点是创建具有信任边界分析的协议行为知识模块，通过动手实验室实验，即时反馈，学习反思以及获得的知识应用的综合项目组件来增强。教学材料包括讲座模块、文档、带有网络拓扑的实验模块、供其他教师创建新网络模型的扩展机制，以及一个基于Jupyter notebook的动手实验系统。Jupyter notebook是一个基于网络的交互式计算平台，支持多种学习方式。实验材料包括在Jupyter笔记本中加载的练习，并通过实验系统自动评分，以便对特定概念的学习进行即时反馈。问题描述符也是开源的，可供采用的教师在特定的教学材料中根据自己的学习目标进行定制。教学材料通过提供公平的机会机制以及在现代界面中以多种形式传达概念，在吸引和留住代表性不足的少数民族和女学生方面具有更广泛的影响。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。

"Network security" is a typical core course in master's and bachelor's level curricula in electrical/computer engineering or computer science or technology. This project makes a novel attempt to relate "Network Security" to "Software Systems Security", where a solid educational foundation has been using threat modeling with effective tools and associated defense and mitigation techniques. This novel approach enables network security education to use the same principles that apply to information systems security. Namely, by viewing each network system as a collection of software systems, this project will enable the use of techniques developed for Software Systems Security education for Network Security education.The main goal of this project is to create novel instructional material to teach network security from the perspective of a built-in security posture within the network design process, with a focus on the creation of protocol behavior knowledge modules with a trust boundary analysis enhanced through hands-on lab experiments, instantaneous feedback, reflections on learnings, as well as a comprehensive project component for application of the gained knowledge. The instructional material is composed of lecture modules, documentation, lab modules with network topologies, an extension mechanism for other instructors to create new network models, and a hands-on lab system that is based on the Jupyter Notebooks, a web-based interactive computing platform supportive of diverse learning styles. The lab material includes exercises that load within the Jupyter Notebooks and are auto-graded through the lab system for immediate feedback on learnings of specific concepts. The question descriptors are also open source and available for the adopting instructors to tailor to their own learning objectives in specific offerings of the instructional material. The instructional material has a broader impact in attracting and retaining underrepresented minorities and female students to the field by providing equitable access mechanisms along with multiple forms of delivery of the concepts in modern interfaces.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.