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 生物 历史 古代史 哲学 语言学 植物 遗传学
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
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
桐桐应助xun采纳,获得10
刚刚
梅槿完成签到 ,获得积分10
1秒前
好好学习完成签到,获得积分10
1秒前
飞先生发布了新的文献求助10
1秒前
yi5feng完成签到,获得积分10
2秒前
高高高完成签到 ,获得积分20
2秒前
3秒前
尉迟剑心发布了新的文献求助10
3秒前
orixero应助不安的朋友采纳,获得30
4秒前
4秒前
5秒前
Yep0672发布了新的文献求助30
5秒前
6秒前
6秒前
7秒前
7秒前
8秒前
9秒前
202430621130发布了新的文献求助10
10秒前
10秒前
风趣的从梦完成签到,获得积分10
11秒前
11秒前
多多发布了新的文献求助10
12秒前
12秒前
12秒前
12秒前
13秒前
14秒前
14秒前
Re发布了新的文献求助10
14秒前
橙子完成签到,获得积分10
16秒前
16秒前
李爱国应助尉迟剑心采纳,获得10
16秒前
16秒前
科研通AI5应助十一采纳,获得10
17秒前
18秒前
研友_08og68发布了新的文献求助10
18秒前
YY发布了新的文献求助10
18秒前
18秒前
19秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 2000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3743446
求助须知:如何正确求助?哪些是违规求助? 3286024
关于积分的说明 10048994
捐赠科研通 3002666
什么是DOI,文献DOI怎么找? 1648306
邀请新用户注册赠送积分活动 784617
科研通“疑难数据库(出版商)”最低求助积分说明 750780