SaTC: EDU: Collaborative: Bolstering UAV Cybersecurity Education through Curriculum Development with Hands-on Laboratory Framework

SaTC：EDU：协作：通过实践实验室框架的课程开发来加强无人机网络安全教育

• 批准号: 2317117
• 负责人: Houbing Song
• 金额: $ 32万
• 依托单位: University of Maryland Baltimore County
• 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: 2023-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317117&HistoricalAwards=false
• 关键词: SaTC; EDU; Collaborative; Bolstering; UAV

The striking development of unmanned aerial vehicles (UAVs), or drones, is unleashing the increasing application in civilian and military scenarios. At the same time, serious cybersecurity concerns have been raised about UAVs, wherein they are identified as targets of cyber-attacks or potential attack vectors for malicious actors. This project seeks to improve UAV and cybersecurity education through the development of curriculum materials and hands-on laboratory platform. Specifically, this will include the development of 1) a set of cohesive course modules that systematically cover UAV cybersecurity topics; 2) a UAV cybersecurity laboratory platform that provides a series of exercise modules and can be easily deployed; 3) an open and collaborative UAV cybersecurity repository for educators, students, and researchers to discuss, collaborate, contribute, and share; and 4) faculty development summer workshops for UAV cybersecurity education. This project is the first to provide education materials, including hands-on labs on UAV cybersecurity systematically. The intellectual merit of the proposed project lies in its development of the novel, effective, and engaging course modules on UAV cybersecurity. The deliverables include a low-cost hardware-in-the-loop (HIL) UAV experimental kit; the integrated development environment (IDE) to use the tool kits; multiple hands-on labs covering the hardware security, communication security, network security, and data security. The investigators will build awareness and competence to respond to a dynamic and rapidly developing array of cyber threats, especially those in the emerging UAV applications.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.

无人驾驶汽车（无人机）的惊人发展正在释放在平民和军事场景中的越来越多的应用。同时，对无人机的严重网络安全问题已经引起了人们的关注，其中它们被确定为网络攻击的目标或恶意演员的潜在攻击向量。该项目旨在通过开发课程材料和动手实验室平台来改善无人机和网络安全教育。具体而言，这将包括1）系统涵盖无人机网络安全主题的一组内聚过程模块； 2）无人机网络安全实验室平台，提供一系列运动模块，可以轻松部署； 3）一个开放且协作的无人机网络安全存储库，供教育工作者，学生和研究人员讨论，协作，贡献和分享；和4）无人机网络安全教育的教师发展夏季研讨会。 该项目是第一个提供教育材料的项目，包括系统地进行无人机网络安全的实验室实验室。拟议项目的智力优点在于其针对无人机网络安全的新颖，有效且引人入胜的课程模块的发展。可交付成果包括一个低成本的硬件（HIL）无人机实验套件；使用工具套件的集成开发环境（IDE）；涵盖硬件安全性，通信安全性，网络安全性和数据安全性的多个动手实验室。研究人员将建立意识和能力，以应对动态和快速发展的网络威胁，尤其是新兴无人机应用程序中的威胁。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。

项目成果

GPS Spoofing on UAV: A Survey

• DOI: 10.1109/infocomwkshps57453.2023.10225980
• 发表时间: 2023-05
• 期刊: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
• 作者: Ryan D. Restivo;Laurel C. Dodson;Jian Wang;Wenkai Tan;Yongxin Liu;Huihui Wang;H. Song

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

• DOI: 10.1109/jiot.2021.3099028
• 发表时间: 2022-01-01
• 期刊: IEEE INTERNET OF THINGS JOURNAL
• 影响因子: 10.6
• 作者: Liu, Yongxin;Wang, Jian;Song, Houbing
• 通讯作者: Song, Houbing

Throughput Optimization in Heterogeneous Swarms of Unmanned Aircraft Systems for Advanced Aerial Mobility

• DOI: 10.1109/tits.2021.3082512
• 发表时间: 2022-03
• 期刊: IEEE Transactions on Intelligent Transportation Systems
• 影响因子: 8.5
• 作者: Jian Wang;Yongxin Liu;Shuteng Niu;Weipeng Jing;H. Song

Spatial–Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction

用于物联网支持的空中交通预测的时空图数据挖掘

• DOI: 10.1109/jiot.2021.3090265
• 发表时间: 2022
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Jiang, Yushan;Niu, Shuteng;Zhang, Kai;Chen, Bowen;Xu, Chengtao;Liu, Dahai;Song, Houbing
• 通讯作者: Song, Houbing