REU Site: Research Experience in Cyber-Security for Cyber-Physical Systems

这个本科生（REU）网站的研究经验侧重于网络物理系统的安全性，如自动驾驶汽车、无人机系统、机器人、智能电网系统和物联网设备，这些设备由于与人类、其他设备和环境的真实交互而成为最重要的安全设备。这些设备对制造效率和国家竞争力也至关重要。该计划为学生参与者提供了一个获得开发和分析此类网络物理系统的网络安全相关软件的经验的机会。通过这一体验，学生将了解网络安全、网络物理系统和计算机学科的研究过程和技术。他们也会更好地了解自己的能力和兴趣，以追求研究事业，完善和潜在地改变他们的职业和教育目标。因此，该项目通过让学生通过沉浸式参与现实世界的研究环境来评估对研究职业的追求，从而促进了科学的进步，并通过其对网络安全领域的关注来促进国家安全和福利。这些专注于自动驾驶汽车和机器人等主题的项目激发了学生们的兴趣，并为他们提供了动手操作硬件的机会，让学生们看到他们在软件设计和安全方面做出的决定的效果。样本项目涉及1)安全协调系统的设计，入侵和恶意数据检测，2)问题预防和检测，3)数据可信度，4)传感器数据信任评估，以及5)监控和数据采集系统的安全性和可靠性分析。通过这些，学生可以接触到与这些项目相关的多个子学科，使他们能够在多个相关领域体验。他们也获得了对每个分支学科的重要性的认识，并有机会与他们的干部伙伴一起从头到尾地从事一个大型项目。参与的学生完成研究项目，包括软件开发，结果分析和技术撰写。他们由北达科他州立大学的教师通过干部小组、安排的一对一和特别会议进行指导。他们认识到质量保证过程的重要性，特别是确保软件安全和网络物理系统的安全，并且他们了解软件生命周期和适当的软件开发实践。这些项目的设计是为了让学生们尽管在自己的研究目标上努力，并作为这个目标的“首席科学家”，但他们的成功依赖于其他学生。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 research experience for undergraduates (REU) site has a focus on security of cyber-physical systems such as self-driving cars, unmanned aerial vehicle systems, robots, smart electrical grid systems and internet of things devices that are among the most important devices to secure due to their real-world interaction with humans, other equipment and the environment. These devices are also critical to manufacturing efficiency and national competitiveness. This program provides student participants an opportunity to gain experience in developing and analyzing cyber-security-related software for such cyber-physical systems. Through this experience, students learn about the process of and techniques for conducting research in cybersecurity, cyber-physical systems and the computing disciplines in general. They also come to better understand their own capabilities and interest in pursuing research careers, refining and potentially changing their career and educational goals.  The project, thus, promotes the progress of science by allowing students to evaluate the pursuit of careers in research through immersive participation in a real-world research environment, and it advances national security and welfare through its focus on the area of cybersecurity.  The projects focusing on topics such as self-driving cars and robots excite student participants and provide the opportunity for hands on work with hardware, allowing students to see the effect of decisions they have made regarding software design and security. Sample projects involve 1) the design of secure coordination systems, intrusion, and malicious data detection, 2) issue prevention and detection, 3) data trustworthiness, 4) sensor data trust assessment, and 5) supervisory control and data acquisition system security, and reliability analytics. Through these, students gain exposure to multiple sub-disciplines related to these projects, allowing them to experience in multiple related areas. They also gain an appreciation for the importance of each sub-discipline as well as the opportunity to work on a large project from start to finish in conjunction with their cadre-mates. Participating students complete research projects, including software development, results analysis and technical write-ups.  They are mentored by North Dakota State University faculty through cadre-group, scheduled one-on-one and ad-hoc meetings.  They gain appreciation of the importance of quality assurance processes, particularly for ensuring software security and the safety of cyber-physical systems, and they learn about the software lifecycle and proper software development practices.  The projects are designed so that students, despite working on their own research goal and serving as the "lead scientist" on this goal, rely on other students for their success.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.