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http://dx.doi.org/10.13089/JKIISC.2021.31.2.133

A Research on the Security of Drone Control Data Using Quantum Entropy-Based Random Number Generator  

Kim, Tae-Wan (Kookmin University)
Lee, Se-Yoon (Kookmin University)
Jung, Seo-Woo (Kookmin University)
Wi, Han-saem (Kookmin University)
Yi, Ok-yeon (Kookmin University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.31, no.2, 2021 , pp. 133-144 More about this Journal
Abstract
Ardupilot and PX4 are representative open source projects for drones, and drone-controlled open sources are widely used for drone development at home and abroad due to reduced development costs, stability of source code, and rapid development feedback. However there are also fatal drawbacks behind such advantages. Open-source on drones used by various agencies If there are vulnerabilities in data security, all drones used by those agencies are potentially subject to security attacks, this could lead to a series of economic and human losses, depending on the nature of the environment. In this paper, we explain the data security vulnerabilities of MAVLink v1.0, MAVLink v2.0 used in Ardupilot, PX4, and propose object authentication using quantum entropy-based random number generator to respond to them, propose data security, and conduct availability analysis through performance measurement of proposed data security.
Keywords
UAS; Drone; MAVLink; Quantum random number; IoT;
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