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Empirical Analysis of MAVLink Protocol Vulnerability for Attacking Unmanned Aerial Vehicles

Title
Empirical Analysis of MAVLink Protocol Vulnerability for Attacking Unmanned Aerial Vehicles
Author(s)
Kwon, Young-MinYu, JaeminCho, Byeong-MoonEun, YongsoonPark, Kyung-Joon
DGIST Authors
Kwon, Young-MinYu, JaeminCho, Byeong-MoonEun, YongsoonPark, Kyung-Joon
Issued Date
2018-08
Type
Article
Article Type
Article
Author Keywords
UAVUASdronesMAVLinknetwork attackDoSflooding attackpacket injection
Keywords
SECURITYINTERNET
ISSN
2169-3536
Abstract
Recently, unmanned aerial vehicles (UAVs), or the so-called drones, have been used in various applications. In particular, UAVs are used for rescue systems, disaster detection, and military purposes, as well as for leisure and commercial purposes. UAVs that are controlled over networks by ground control stations (GCS) can provide various services with expanded activity area. It is thus of critical importance to investigate the vulnerability of the drone system. In this paper, we focus on UAVs controlled by GCS over networks. We analyze the vulnerability of the micro-air-vehicle communication (MAVLink) protocol, which is one of the most widely adopted communication protocols for GCS-based control of UAVs. Then, by exploiting the vulnerability of the MAVLink protocol, we propose an attack methodology that can disable an ongoing mission of a UAV. Our empirical study confirms that the proposed attack can stop the attacked UAV and disable the mission. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9227
DOI
10.1109/ACCESS.2018.2863237
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • 은용순 Eun, Yongsoon
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files in This Item:
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2-s2.0-85051018551.pdf

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Appears in Collections:
Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles
Department of Electrical Engineering and Computer Science CSI(Cyber-Physical Systems Integration) Lab 1. Journal Articles

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