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: 2043183
• 负责人: Xiaolin Xu
• 金额: $ 18万
• 依托单位: Northeastern University
• 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: 2020-08-24 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2043183&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

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

• DOI: 10.1109/dac56929.2023.10247663
• 发表时间: 2023-06
• 期刊: 2023 60th ACM/IEEE Design Automation Conference (DAC)
• 作者: Hongwu Peng;Shangli Zhou;Yukui Luo;Nuo Xu;Shijin Duan;Ran Ran-Ran;Jiahui Zhao;Chenghong Wang;Tong Geng;Wujie Wen;Xiaolin Xu;Caiwen Ding

ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach

• DOI: 10.1145/3508352.3549429
• 发表时间: 2022-08
• 期刊: 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
• 作者: Tong Zhou;Shaolei Ren;Xiaolin Xu

A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure

将多租户 Cloud-FPGA 构建为安全基础设施的警告

• DOI: 10.1109/icfpt56656.2022.9974230
• 发表时间: 2022
• 期刊: 2022 International Conference on Field-Programmable Technology (ICFPT
• 作者: Luo, Yukui;Zhang, Yuheng;Duan, Shijin;Xu, Xiaolin
• 通讯作者: Xu, Xiaolin

NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering

NNReArch：针对神经网络架构逆向工程的张量程序调度框架

• DOI: 10.1109/fccm53951.2022.9786112
• 发表时间: 2022
• 期刊: 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM
• 作者: Luo, Yukui;Duan, Shijin;Gongye, Cheng;Fei, Yunsi;Xu, Xiaolin
• 通讯作者: Xu, Xiaolin

HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs

• DOI: 10.1109/dac56929.2023.10247671
• 发表时间: 2023-07
• 期刊: 2023 60th ACM/IEEE Design Automation Conference (DAC)
• 作者: Gongye Cheng;Yukui Luo;Xiaolin Xu;Yunsi Fei