EDU: Developing Security Education Materials for Future Advanced Manufacturing Engineering Workforce

先进制造系统(AMS)的网络安全已经引起了公众和研究人员的极大关注。然而，相应的教育方案在许多方面都落后了。AMS的安全教育课程或实践学习资源有限，特别是涵盖整个制造周期的练习。本项目将试图通过开发一个专门用于AMS安全教育的实验平台，并在此平台上设计一套课程模块和实践项目来弥合这一差距。这些研究成果将提供一种新的方法来培训合格的劳动力，以填补这个传统但快速发展的行业中数以万计的空缺职位，并提高未来网络物理系统的可持续性和安全性。少数族裔和代表性不足的学生将从该项目中受益。两所社区学院对这一项目表现出了极大的兴趣和支持。该团队将在远程自动化管理项目(RAMP)系统上实现设备预留、命令传输和传感数据采集等新模块，从而开发一个AMS实验平台。这一平台涵盖了支撑现代制造运营的网络和物理系统。然后，将开发关于AMS基础设施和数据安全的三个课程单元和四个实践项目，用于知识学习和技能培训。已计划对拟议的实验平台和教育材料进行评估和分发。经验丰富的评估员将执行严格的评估计划，以评估项目每个阶段的目标和成就。新的教学材料将在北卡罗来纳大学夏洛特分校的四个课程中实施。通过与当地社区大学、NSF STAR联盟、NSF REU Site和NSF SFS奖学金计划的合作，研究人员将通过夏令营和演讲接触到高中生和本科生。

The cyber security of advanced manufacturing systems (AMS) has raised significant interest amongst both the general public and researchers. However, corresponding education programs fall behind in many aspects. Limited curriculum or hands-on learning resources are available for security education in AMS, especially exercises that cover the complete manufacturing cycle. This project will try to bridge the gap by developing an experiment platform dedicated to security education for AMS, and designing a suite of course modules and hands-on projects upon it. The research achievements will provide a new method to train qualified workforce to fill tens of thousands of open positions in this traditional yet fast evolving industry and improve the sustainability and security of future cyber-physical systems. Minority and under-represented students will benefit from the project. Two community colleges have shown a great interest in and support for this project.The team will develop an experiment platform for AMS by implementing new modules for equipment reservation, command transmission, and sensing data collection upon the Remote Automation Management Project (RAMP) system. This platform covers both cyber and physical systems underpinning modern manufacturing operations. Three course modules and four hands-on projects on infrastructure and data security in AMS will then be developed for knowledge learning and skill training. Special efforts have been planned for the evaluation and dissemination of the proposed experiment platform and educational materials. Rigorous evaluation plans will be carried out by experienced evaluators to assess the objectives and achievements of each phase of the project. The new instructional materials will be implemented in four courses at UNC Charlotte. Through collaborations with local community colleges, the NSF STARS Alliance, NSF REU site, and NSF SFS Scholarship program, the researchers will reach out to both high school and undergraduate students through summer camps and presentations.