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

基本信息

  • 批准号:
    2321271
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 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

项目摘要

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。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Shangqing Zhao其他文献

BIBench: Benchmarking Data Analysis Knowledge of Large Language Models
BIBench:大语言模型的基准数据分析知识
  • DOI:
    10.48550/arxiv.2401.02982
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shu Liu;Shangqing Zhao;Chenghao Jia;Xinlin Zhuang;Zhaoguang Long;Man Lan
  • 通讯作者:
    Man Lan
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
超复杂空间中时间敏感关系的时态知识图补全
  • DOI:
    10.48550/arxiv.2403.02355
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lianshang Cai;Xin Mao;Zhihong Wang;Shangqing Zhao;Yuhao Zhou;Changxu Wu;Man Lan
  • 通讯作者:
    Man Lan
Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation
自监督 BGP 图推理通过 SPARQL 生成增强复杂的 KBQA
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Feng Gao;Yan Yang;Peng Gao;Ming Gu;Shangqing Zhao;Yuefeng Chen;Hao Yuan;Man Lan;Aimin Zhou;Liang He
  • 通讯作者:
    Liang He
Boosting electrochemical COsub2/sub reduction by strong electronic interaction at the interface of Bi/SnOsub2/sub heterostructures
通过Bi/SnO₂异质结构界面的强电子相互作用促进电化学二氧化碳还原
  • DOI:
    10.1016/j.jcis.2025.137528
  • 发表时间:
    2025-08-15
  • 期刊:
  • 影响因子:
    9.700
  • 作者:
    Zeyu Wang;Yaling Jia;Shangqing Zhao;Huiling Zheng;Antony Rajendran;Wen-Ying Li
  • 通讯作者:
    Wen-Ying Li

Shangqing Zhao的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Shangqing Zhao', 18)}}的其他基金

Collaborative Research: SaTC: CORE: Small: Understanding the Limitations of Wireless Network Security Designs Leveraging Wireless Properties: New Threats and Defenses in Practice
协作研究:SaTC:核心:小型:了解利用无线特性的无线网络安全设计的局限性:实践中的新威胁和防御
  • 批准号:
    2316720
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317232
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
  • 批准号:
    2330940
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338301
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317233
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338302
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
  • 批准号:
    2330941
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Small: Towards Secure and Trustworthy Tree Models
协作研究:SaTC:核心:小型:迈向安全可信的树模型
  • 批准号:
    2413046
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: EDU: Adversarial Malware Analysis - An Artificial Intelligence Driven Hands-On Curriculum for Next Generation Cyber Security Workforce
协作研究:SaTC:EDU:对抗性恶意软件分析 - 下一代网络安全劳动力的人工智能驱动实践课程
  • 批准号:
    2230609
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: EDU: RoCCeM: Bringing Robotics, Cybersecurity and Computer Science to the Middled School Classroom
合作研究:SaTC:EDU:RoCCeM:将机器人、网络安全和计算机科学带入中学课堂
  • 批准号:
    2312057
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Medium: Understanding the Impact of Privacy Interventions on the Online Publishing Ecosystem
协作研究:SaTC:核心:媒介:了解隐私干预对在线出版生态系统的影响
  • 批准号:
    2237329
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了