• Title/Summary/Keyword: MAVLink

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A Study on the Analysis and Improvement of STANAG 4586 / MAVLink Protocol for Interoperability Improvement of UAS (UAS 상호운용성 향상을 위한 STANAG 4586과 MAVLink 프로토콜 비교분석 및 개선방안 연구)

  • Nam, Gyeongrae;Go, Jeonghwan;Kwon, Cheolhee;Jeong, Soyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.6
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    • pp.618-638
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    • 2020
  • An unmanned aerial vehicle(UAV) refers to an aircraft that has all or part of its functions to autonomously fly by grasping the surrounding environment by remote control on the ground without a pilot on board. With the development of unmanned aerial technology, civil/military forces are developing unmanned aerial vehicles for various purposes. In order to control unmanned aerial vehicles from the ground, communication protocols between unmanned aerial vehicles and ground control equipment are required, and civil/military forces have developed and used a photocall for different purposes. In this study, the characteristics of the MAVLink protocol used in the private sector and the STANAG 4586 protocol used in the military are compared/analyzed in detail to find elements to complement each other and to draw improvement measures for protocol unification.

The proposal of a cryptographic method for the communication message security of GCS to support safe UAV operations (안정적인 UAV 운영을 위한 GCS의 통신메시지의 암호화 제안)

  • Kim, Byoung-Kug;Hong, Sung-Hwa;Kang, Jiheon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1353-1358
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    • 2021
  • IoT (Internet of Things) emerges from various technologies such as communications, micro processors and embedded system and so on. The IoT has also been used to UAV (Unmanned Aerial Vehicle) system. In manned aircraft, a pilot and co-pilot should control FCS (Flight Control System) with FBW(Fly By Wire) system for flight operation. In contrast, the flight operation in UAV system is remotely and fully managed by GCS (Ground Control System) almost in real time. To make it possible the communication channel should be necessary between the UAV and the GCS. There are many protocols between two systems. Amongst them, MAVLink (Macro Air Vehicle Link) protocol is representatively used due to its open architecture. MAVLink does not define any securities itself, which results in high vulnerability from external attacks. This paper proposes the method to enhance data security in GCS network by applying cryptographic methods to the MAVLink messages in order to support safe UAV operations.

A Study On Performance Evaluation of Cryptographic Module and Security Functional Requirements of Secure UAV (보안 UAV를 위한 암호모듈의 성능평가와 보안성 평가 방법에 대한 연구)

  • Kim, Yongdae;Kim, Deokjin;Yi, Eunkyoung;Lee, Sangwook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.737-750
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    • 2022
  • The demands of Unmanned Aerial Vehicles (UAVs) are growing very rapidly with the era of the 4th industrial revolution. As the technology of the UAV improved with the development of artificial intelligence and semiconductor technology, it began to be used in various civilian fields such as hobbies, bridge inspections, etc from being used for special purposes such as military use. MAVLink (Macro Air Vehicle Link), which started as an open source project, is the most widely used communication protocol between UAV and ground control station. However, MAVLink does not include any security features such as encryption/decryption mechanism, so it is vulnerable to various security threats. Therefore, in this study, the block cipher is implemented in UAV to ensure confidentiality, and the results of the encryption and decryption performance evaluation in the UAV according to various implementation methods are analyzed. In addition, we proposed the security requirements in accordance with Common Criteria, which is an international recognized ISO standard.

Underwater Acoustic Mavlink Communication for Swarming AUVS

  • Muller, Yukiko;Oshiro, Shiho;Motohara, Takuma;Kinjo, Atsushi;Suzuki, Taisaku;Wada, Tomohisa
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.277-283
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    • 2021
  • The objective of this project is to conduct an underwater survey. The primary goal is to develop a device that can achieve the desired output under test conditions. For this reason, certain practical considerations must be taken into account, and the implementation is then developed to be carried out to obtain stable performance with the available hardware based on that experiment. The experiment was performed via BlueROV2 (Remotely Operated Vehicle) using RaspberryPi and softwares such as QGC (QGroundControl) and ArduPilot. This paper explains the work, the results with the collected data and how we implemented the work is presented in the end. The intention of this experiment is to connect two PCs using RaspberryPi with MAVLink communication using a Commercial-Off-The-Shelf device.

An Implementation of Formation Flight Control System Using Two Drones (두 대의 드론을 이용한 편대 비행 제어 시스템 구현)

  • Kim, Dong-Jin;Park, Young-Seak
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.6
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    • pp.343-351
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    • 2016
  • In this study, we implemented a formation flight control system using two drones. Ground control system communicates with drones by MAVLink protocol, does keep watch on drone's status and sends simultaneously formation flight instructions to drones in real time. Two drones have been able to fly by a formation flight algorithm without crashing while maintaining the same speed, and a constant distance and altitude.

A Study on the Security Framework in IoT Services for Unmanned Aerial Vehicle Networks (군집 드론망을 통한 IoT 서비스를 위한 보안 프레임워크 연구)

  • Shin, Minjeong;Kim, Sungun
    • Journal of Korea Multimedia Society
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    • v.21 no.8
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    • pp.897-908
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    • 2018
  • In this paper, we propose a security framework for a cluster drones network using the MAVLink (Micro Air Vehicle Link) application protocol based on FANET (Flying Ad-hoc Network), which is composed of ad-hoc networks with multiple drones for IoT services such as remote sensing or disaster monitoring. Here, the drones belonging to the cluster construct a FANET network acting as WTRP (Wireless Token Ring Protocol) MAC protocol. Under this network environment, we propose an efficient algorithm applying the Lightweight Encryption Algorithm (LEA) to the CTR (Counter) operation mode of WPA2 (WiFi Protected Access 2) to encrypt the transmitted data through the MAVLink application. And we study how to apply LEA based on CBC (Cipher Block Chaining) operation mode used in WPA2 for message security tag generation. In addition, a modified Diffie-Hellman key exchange method is approached to generate a new key used for encryption and security tag generation. The proposed method and similar methods are compared and analyzed in terms of efficiency.

A Study on the Generation and Transmission of Drone Jamming Signals Based on the MAVLink Protocol (MAVLink 프로토콜 기반 드론 교란 신호 생성 및 송출에 관한 연구)

  • Woojin Lee;Changhan Lim;Jaeyeon Lee
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.75-84
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    • 2023
  • Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.

Synchronization System for Time of Mission and Flight Computers over UAV Network

  • Lee, Won-Seok;Jang, Jun-Yong;Song, Hyoung-Kyu
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.4
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    • pp.387-393
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    • 2021
  • This paper proposes a system to synchronize the time of computers over an unmanned aerial vehicle (UAV) network. With the proposed system, the UAVs can perform missions that require precise relative time. Also, data collected by UAVs can be fused precisely with synchronized time. In the system, to synchronize the time of all computers over the UAV network, two-step synchronization is performed. In the first step, the mission computers of the UAVs are synchronized through the server of the system. After the first step, the mission computers measure time offset between the time of the mission computers and the flight computers. The offset values are delivered to the server. In the second step, virtual time is determined by the server from the collected time offset. The measured offset is compensated by moving the synchronized time of mission computers to the reasonable virtual time. Since only the time of mission computers are controlled, any flight computers that use micro air vehicle link (MAVLink) protocol can be synchronized in the proposed system.

Implementation of Agricultural Multi-UAV System with Distributed Swarm Control Algorithm into a Simulator (분산군집제어 알고리즘 기반 농업용 멀티 UAV 시스템의 시뮬레이터 구현)

  • Ju, Chanyoung;Park, Sungjun;Son, Hyoung Il
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.37-38
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    • 2017
  • 최근 방제 및 예찰과 같은 농작업에 단일 UAV(Unmanned Aerial Vehicle)시스템이 적용되고 있지만, 가반하중과 체공시간 등 기존시스템의 문제가 점차 대두되면서 작업 시간을 보다 단축시키고 작업 효율을 극대화 할 수 있는 농업용 멀티 UAV시스템의 필요성이 증대되고 있다. 본 논문에서는 작업자가 다수의 농업용 UAV를 효과적으로 제어할 수 있는 분산군집제어 알고리즘을 제안하며 알고리즘 검증 및 평가를 위한 시뮬레이터를 소개한다. 분산군집제어는 UAV 제어 계층, VP(Virtual Point) 제어 계층, 원격제어 계층으로 이루어진 3계층 제어구조를 가진다. UAV 제어 계층에서 각 UAV는 point mass로 모델링 되는 VP의 이상적인 경로를 추종하도록 제어한다. VP 제어 계층에서 각 VP는 입력 $p_i(t)=u^c_i+u^o_i+u^{co}_i+u^h_i$-(1)을 받아 제어되는데 여기서, $u^c_i{\in}{\mathbb{R}}^3$는 VP 사이의 충돌방지제어, $u^o_i{\in}{\mathbb{R}}^3$는 장애물과의 충돌방지제어, $u^{co}_i{\in}{\mathbb{R}}^3$는 UAV 상호간의 협조제어, $u^h_i{\in}{\mathbb{R}}^3$는 작업자로부터의 원격제어명령이다. (1)의 제어입력에서 충돌방지제어는 각 $u^i_c:=-{\sum\limits_{j{\in}{\eta}_i}}{\frac {{\partial}{\phi}_{ij}^c({\parallel}p_i-p_j{\parallel})^T}{{\partial}p_i}}$-(2), $u^o_c:=-{\sum\limits_{r{\in}O_i}}{\frac {{\partial}{\phi}_{ir}^o({\parallel}p_i-p^o_r{\parallel})^T}{{\partial}p_i}}$-(3)로 정의되면 ${\phi}^c_{ij}$${\phi}^o_{ir}$는 포텐셜 함수를 나타낸다. 원격제어 계층에서 작업자는 햅틱 인터페이스를 통해 VP의 속도를 제어하게 된다. 이때 스케일변수 ${\lambda}$에 대하여 VP의 원격제어명령은 $u^t_i(t)={\lambda}q(t)$로 정의한다. UAV 시뮬레이터는 리눅스 환경에서 ROS(Robot Operating Systems)를 기반한 3차원 시뮬레이터인 Gazebo상에 구축하였으며, 마스터와 슬레이브 간의 제어 명령은 TCPROS를 통해 서로 주고받는다. UAV는 PX4 기반의 3DR Solo 모델을 사용하였으며 MAVROS를 통해 MAVLink 통신 프로토콜에 접속하여 UAV의 고도, 속도 및 가속도 등의 상태정보를 받을 수 있다. 현재 멀티 드론 시스템을 Gazebo 환경에 구축하였으며, 추후 시뮬레이터 상에 분산군집제어 알고리즘을 구현하여 검증 및 평가를 진행하고자 한다.

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