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

合作研究：SaTC：EDU：5G 和 NextG 无线网络安全人工智能综合培训项目

• 批准号: 2321270
• 负责人: Zhuo Lu
• 金额: $ 20万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321270&HistoricalAwards=false
• 关键词: Collaborative; Research; SaTC; EDU; Comprehensive

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.

5G和下一代（NextG）网络的出现正在将我们的生活转变为一个以高连接性和密集数据交换为特征的新网络时代。如此高度互联的世界带来了安全和隐私挑战（例如，如何保护敏感数据并确保个人隐私）。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解决这些挑战。最近，大量研究工作集中在采用人工智能（AI）技术来实现 5G 和 NextG 安全，因为它们的效率和处理各种复杂数据以实现智能功能的能力。未来的员工需要在 5G/NextG、安全和人工智能的交叉领域接受全面、连贯的培训，以便对部署人工智能技术实现无线网络安全有基本的了解。该项目旨在通过创建教育材料和培训项目来培训未来 5G/NextG 安全人工智能劳动力，从而填补无线网络安全和人工智能技术之间的重要教育差距。项目团队将开发两种主要类型的教育材料：(i) 课程模块和(ii) 基于项目的培训。 5G/NextG 安全中的人工智能实验室课程模块将由三类组成：物理层、介质访问控制（MAC）和网络层以及网络应用。在每个模块中，将利用最先进的无线设备来创建真实的循环实验学习体验，让学生观察和了解人工智能在 5G/NextG 安全方面的优势。为学生提供基于项目的培训，使他们能够获得开发和评估人工智能技术以提高无线网络安全性的实践经验。该项目将产生各种更广泛的影响，包括本科生培训机会、公开传播的培训材料和外展活动。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。