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.

无人驾驶飞行器（UAV）或无人机的惊人发展正在释放越来越多的民用和军事应用。与此同时，无人机引起了严重的网络安全问题，它们被确定为网络攻击的目标或恶意行为者的潜在攻击载体。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）一套系统地涵盖无人机网络安全主题的有凝聚力的课程模块; 2）一个无人机网络安全实验室平台，提供一系列练习模块，可以轻松部署; 3）一个开放和协作的无人机网络安全知识库，供教育工作者，学生和研究人员讨论，合作，贡献和分享;以及4）无人机网络安全教育的教师发展暑期讲习班。 该项目是第一个提供教育材料的项目，包括系统地提供关于无人机网络安全的实践实验室。拟议项目的智力价值在于其开发了关于无人机网络安全的新颖，有效和引人入胜的课程模块。交付成果包括低成本的硬件在环（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、通信安全、网络安全和数据安全的多个实践实验室。调查人员将提高对动态和快速发展的网络威胁的认识和能力，特别是新兴的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知识价值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

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