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新的网络时代，其特点是高连接和密集的数据交换。这样一个高度互联的世界带来了安全和隐私挑战(例如，如何保护敏感数据和确保个人隐私)。由于处理大量运营数据的复杂性，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，大量的研究工作集中在采用人工智能(AI)技术来实现5G和NextG安全，因为它们具有处理各种复杂数据以实现智能功能的效率和能力。未来的劳动力需要在5G/NextG、安全和AI的交叉领域进行全面、连贯的培训，以获得对部署用于无线网络安全的AI技术的基本了解。该项目旨在通过创建教育材料和培训项目，为5G/NextG安全培训未来的人工智能劳动力，填补无线网络安全和人工智能技术之间的重要教育空白。项目组将编写两种主要类型的教材：(I)课程单元和(Ii)基于项目的培训。5G/NextG安全中人工智能的实验室课程模块将包括三个类别：物理层、媒体访问控制(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为学生创造真实世界的环路实验学习体验，让学生观察和了解AI在5G/NextG安全方面的优势。为学生提供的基于项目的培训将使他们能够在开发和评估人工智能技术以提高无线网络安全方面获得实践经验。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优势和更广泛的影响审查标准进行评估，被认为值得支持。