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
基本信息
- 批准号:1956193
- 负责人:
- 金额:$ 32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
无人机 (UAV) 的惊人发展正在释放其在民用和军事场景中越来越多的应用。与此同时,人们对无人机提出了严重的网络安全担忧,它们被确定为网络攻击的目标或恶意行为者的潜在攻击媒介。该项目旨在通过开发课程材料和实践实验室平台来改善无人机和网络安全教育。具体来说,这将包括开发 1) 一套系统涵盖无人机网络安全主题的有凝聚力的课程模块; 2)无人机网络安全实验室平台,提供一系列演练模块,可轻松部署; 3)一个开放、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; 4) 无人机网络安全教育教师发展夏季研讨会。 该项目是第一个系统地提供教育材料,包括无人机网络安全实践实验室的项目。该项目的智力优势在于其开发了新颖、有效且引人入胜的无人机网络安全课程模块。可交付成果包括低成本硬件在环(HIL)无人机实验套件;使用工具包的集成开发环境(IDE);多个实践实验室,涵盖硬件安全、通信安全、网络安全和数据安全。调查人员将提高意识和能力,以应对一系列动态且快速发展的网络威胁,特别是新兴无人机应用中的网络威胁。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评估进行评估,被认为值得支持。影响审查标准。
项目成果
期刊论文数量(18)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Zero-bias Deep Learning Enabled Quickest Abnormal Event Detection in IoT
零偏差深度学习实现物联网中最快速的异常事件检测
- DOI:10.1109/jiot.2021.3126819
- 发表时间:2021-11
- 期刊:
- 影响因子:10.6
- 作者:Liu, Yongxin;Wang, Jian;Li, Jianqiang;Niu, Shuteng;Wu, Lei;Song, Houbing
- 通讯作者:Song, Houbing
Counter-Unmanned Aircraft System(s)(C-UAS): State of the Art, Challenges and Future Trends
反无人机系统(C-UAS):最新技术、挑战和未来趋势
- DOI:10.1109/maes.2020.3015537
- 发表时间:2021-03
- 期刊:
- 影响因子:3.6
- 作者:Wang, Jian;Liu, Yongxin;Song, Houbing
- 通讯作者:Song, Houbing
Blur the Eyes of UAV: Effective Attacks on UAV-based Infrastructure Inspection
模糊无人机的眼睛:对基于无人机的基础设施检查的有效攻击
- DOI:10.1109/ictai52525.2021.00105
- 发表时间:2021-11
- 期刊:
- 影响因子:0
- 作者:Raja, Ashok;Njilla, Laurent;Yuan, Jiawei
- 通讯作者:Yuan, Jiawei
Aviation Cybersecurity: Foundations, principles, and applications
航空网络安全:基础、原则和应用
- DOI:
- 发表时间:2021-01
- 期刊:
- 影响因子:0
- 作者:Houbing Song; Kenneth Hopkinson
- 通讯作者:Kenneth Hopkinson
Extensive Throughput Enhancement For 5G Enabled UAV Swarm Networking
5G 无人机群网络的广泛吞吐量增强
- DOI:10.1109/jmass.2021.3067861
- 发表时间:2021-01
- 期刊:
- 影响因子:0
- 作者:Wang, Jian;Liu, Yongxin;Niu, Shuteng;Song, Houbing
- 通讯作者:Song, Houbing
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Houbing Song其他文献
Formal Proofs of Orthogonality for Class-Incremental Learning for Wireless Device Identification in IoT
物联网中无线设备识别类增量学习正交性的形式证明
- DOI:
10.36227/techrxiv.14559765.v1 - 发表时间:
2021-05-19 - 期刊:
- 影响因子:10.6
- 作者:
Yongxin Liu;Jian Wang;Jianqiang Li;Shuteng Niu;Houbing Song - 通讯作者:
Houbing Song
A Hybrid Mutual Authentication Approach for Artificial Intelligence of Medical Things
医疗物联网人工智能的混合相互认证方法
- DOI:
10.1109/jiot.2023.3317292 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:10.6
- 作者:
M. Jan;Wenjing Zhang;Aamir Akbar;Houbing Song;Rahim Khan;S. Chelloug - 通讯作者:
S. Chelloug
Effective moving object detection in H.264/AVC compressed domain for video surveillance
用于视频监控的 H.264/AVC 压缩域中的有效运动物体检测
- DOI:
10.1007/s11042-019-08145-4 - 发表时间:
2019-09-11 - 期刊:
- 影响因子:3.6
- 作者:
Ming Ma;Houbing Song - 通讯作者:
Houbing Song
Tree-Based Airspace Capacity Estimation
基于树的空域容量估计
- DOI:
10.1109/icns50378.2020.9222986 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:0
- 作者:
Kai Zhang;Yongxin Liu;Jian Wang;Houbing Song;Dahai Liu - 通讯作者:
Dahai Liu
A Sensor Attack Detection Method in Intelligent Vehicle with Multiple Sensors
一种多传感器智能汽车中的传感器攻击检测方法
- DOI:
10.1109/icii.2019.00047 - 发表时间:
2019-11-01 - 期刊:
- 影响因子:0
- 作者:
Rui Wang;Houbing Song;Yu Jing;Kang Yang;Yong Guan;Jia - 通讯作者:
Jia
Houbing Song的其他文献
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{{ truncateString('Houbing Song', 18)}}的其他基金
Collaborative Research: CyberTraining: Pilot: Operationalizing AI/Machine Learning for Cybersecurity Training
合作研究:网络培训:试点:将人工智能/机器学习应用于网络安全培训
- 批准号:
2229975 - 财政年份:2023
- 资助金额:
$ 32万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Pilot: Operationalizing AI/Machine Learning for Cybersecurity Training
合作研究:网络培训:试点:将人工智能/机器学习应用于网络安全培训
- 批准号:
2229975 - 财政年份:2023
- 资助金额:
$ 32万 - 项目类别:
Standard Grant
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 - 财政年份:2023
- 资助金额:
$ 32万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Pilot: Operationalizing AI/Machine Learning for Cybersecurity Training
合作研究:网络培训:试点:将人工智能/机器学习应用于网络安全培训
- 批准号:
2309760 - 财政年份:2023
- 资助金额:
$ 32万 - 项目类别:
Standard Grant
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