Collaborative Research: SaTC: EDU: A Comprehensive Training Program of AI for 5G and NextG Wireless Network Security

5G和下一代（NextG）网络的出现正在改变我们的生活，使我们进入高连接和密集数据交换的新网络时代。这样一个高度互联的世界带来了安全和隐私方面的挑战（例如，如何保护敏感数据和确保个人隐私）。由于处理大量操作数据的复杂性，传统的无线网络安全设计可能无法充分应对这些挑战。最近，由于人工智能（AI）技术的效率和处理各种复杂数据以实现智能功能的能力，因此在5G和NextG安全方面的研究工作备受关注。未来的工作人员需要在5G/NextG、安全和人工智能的交叉领域进行全面、连贯的培训，以获得对部署人工智能技术用于无线网络安全的基本理解。该项目旨在通过创建教育材料和培训项目来填补无线网络安全和人工智能技术之间的基本教育差距，以培训未来的人工智能劳动力，以实现5G/NextG安全。项目小组将编制两种主要的教育材料：(i)课程模块和（ii）基于项目的培训。5G/NextG安全领域的人工智能实验室课程模块将包括物理层、介质访问控制（MAC）和网络层、网络应用三大类。在每个模块中，最先进的无线设备将被利用来创造一个真实世界的循环实验学习体验，让学生观察和理解人工智能在5G/NextG安全方面的优势。为学生提供以项目为基础的培训，让他们获得开发和评估人工智能技术以提高无线网络安全的实践经验。该项目将产生各种更广泛的影响，包括本科生培训机会、公开分发培训材料和外展活动。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。

The emergence of 5G and next-generation (NextG) networks is transforming our lives into a new cyber era, featuring high connectivity and intensive data exchange. Such a highly connected world poses security and privacy challenges (e.g., how to safeguard sensitive data and ensure individual privacy). Traditional wireless network security designs may not adequately address these challenges, due to the complexity of handling a large amount of operational data. Recently, significant research efforts have been focused on adopting artificial intelligence (AI) techniques for 5G and NextG security because of their efficiency and capability of processing a variety of complex data to achieve intelligent functionalities. The future workforce needs comprehensive, coherent training in the intersection of 5G/NextG, security, and AI to gain a fundamental understanding of deploying AI techniques for wireless network security. This project aims to fill an essential educational gap between wireless network security and AI techniques by creating educational materials and training projects to train the future workforce in AI for 5G/NextG security. The project team will develop two major types of educational materials: (i) curriculum modules and (ii) project-based training. The lab-based curriculum modules for AI in 5G/NextG security will consist of three categories: physical layer, medium access control (MAC) and network layers, and network applications. In each module, state-of-the-art wireless equipment will be leveraged to create a real-world experiment-in-the-loop learning experience for students to observe and understand the advantages of AI for 5G/NextG security. Project-based training for students to will allow them to gain hands-on experience in developing and evaluating AI techniques to improve wireless network security. This project will enable various broader impacts, including undergraduate student training opportunities, openly disseminated training materials, and outreach activities.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.