Leveling the Playing Field: Equipping Ukrainian Freedom Fighters with Low-Cost Drone Detection Capabilities

无人机 计算机科学 乌克兰语 鉴定(生物学) 战场 航空学 计算机安全 工程类 语言学 遗传学 植物 生物 历史 哲学 古代史
作者
Conner Bender,Jason Staggs
标识
DOI:10.23919/cycon58705.2023.10181421
摘要

The unprecedented conflict in Ukraine has seen heavy use of asymmetric warfare tactics and techniques, including the use of drones. In particular, Da-Jiang Innovations (DJI) drones have played a major role in the conflict, supporting tactical military operations for both opponents by providing reconnaissance and explosive ordnance across the battlefield. The same drones have also been leveraged to provide humanitarian aid across Ukraine. However, Ukraine has publicly accused DJI of helping Russia target Ukrainian civilians by allowing Russian military forces to acquire and use a proprietary DJI drone-tracking system called AeroScope. This system has allowed Russian forces to geolocate and target Ukrainian civilians piloting DJI drones, which has often led to kinetic strikes against drone operators. Modern DJI drones beacon telemetry and remote identification information that allows the AeroScope system to identify and track the drone and operator at ranges of up to 30 miles away. Cost and ease of access are the primary factors that have hindered Ukraine's ability to counter this threat with AeroScope systems of their own to identify and locate DJI drones and operators used by Russia. This has provided an asymmetric advantage to Russia on the battlefield. Although cybersecurity researchers have demonstrated that DJI drone identification wireless datalinks are unencrypted, it remains a mystery how to collect and decode these signals over the air in real time using low-cost and widely available software-defined radios. This paper addresses the problem by reverse engineering DJI drone identification signals and message structures to detect drone IDs over OcuSync and Enhanced Wi-Fi datalinks. A functioning open-source prototype is detailed that can detect DJI OcuSync drones using two HackRF One software-defined radios. The methodology can easily be adopted by others to rapidly assemble and deploy low-cost DJI drone and operator detection and geolocation systems that are functionally similar to the AeroScope system.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
麦冬冬发布了新的文献求助10
刚刚
刚刚
1秒前
向日葵发布了新的文献求助100
2秒前
NexusExplorer应助骨科采纳,获得10
2秒前
初初发布了新的文献求助10
4秒前
orixero应助77采纳,获得10
7秒前
忐忑的蛋糕完成签到,获得积分10
7秒前
zhaoyan发布了新的文献求助10
7秒前
啊宋完成签到,获得积分10
7秒前
yqf关闭了yqf文献求助
8秒前
上官若男应助HanlinLiu采纳,获得30
8秒前
充电宝应助小栗采纳,获得10
9秒前
华仔应助水水采纳,获得10
12秒前
!!完成签到,获得积分10
14秒前
九9完成签到,获得积分20
14秒前
15秒前
zhouling完成签到,获得积分10
16秒前
Lucas应助初初采纳,获得10
16秒前
17秒前
18秒前
糖不甜了完成签到,获得积分10
18秒前
20秒前
22秒前
22秒前
xun发布了新的文献求助10
23秒前
23秒前
24秒前
初初完成签到,获得积分20
24秒前
云仔发布了新的文献求助10
25秒前
26秒前
恒恒666发布了新的文献求助10
26秒前
傅家庆发布了新的文献求助10
28秒前
水水发布了新的文献求助10
29秒前
超级玛丽完成签到 ,获得积分10
30秒前
向日葵完成签到,获得积分10
32秒前
37秒前
38秒前
zjy2023完成签到,获得积分10
40秒前
chengche完成签到,获得积分10
41秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 1800
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
How Maoism Was Made: Reconstructing China, 1949-1965 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3313931
求助须知:如何正确求助?哪些是违规求助? 2946299
关于积分的说明 8529341
捐赠科研通 2621879
什么是DOI,文献DOI怎么找? 1434209
科研通“疑难数据库(出版商)”最低求助积分说明 665170
邀请新用户注册赠送积分活动 650738