Fuzz Testing of UAV Configurations Based on Evolutionary Algorithm

Yuexuan Ma, Xiao Yu*, Yuanzhang Li, Li Zhang, Yifei Yan, Yu An Tan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the widespread application of Unmanned Aerial Vehicle (UAV) technology, its security issues have also attracted much attention, among which the configuration attack against the UAV flight control system is one of the current research hotspots. Attackers always upload seemingly normal configuration combinations and cause an imbalance in the UAV state by exploiting configuration item verification vulnerabilities. This paper accumulates flight data through simulation, generates configuration combinations within the security range using differential evolution-based fuzz testing, uses neural networks to guide configuration item variants, and applies these configuration combinations to the AutoTest of UAV flight control systems. The experimental results show that the configuration combinations generated by fuzz testing can guide the UAV to course deviation, spin, crash and other unstable states; the code coverage and function coverage of the position and attitude code library base in the flight control system have also reached a high level.

Original languageEnglish
Title of host publicationBlockchain Technology and Emerging Applications - 3rd EAI International Conference, BlockTEA 2023, Proceedings
EditorsJiageng Chen, Zhe Xia
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-56
Number of pages16
ISBN (Print)9783031600364
DOIs
Publication statusPublished - 2024
Event3rd EAI International Conference on Blockchain Technology and Emerging Applications, BlockTEA 2023 - Wuhan, China
Duration: 2 Dec 20233 Dec 2023

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume577 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference3rd EAI International Conference on Blockchain Technology and Emerging Applications, BlockTEA 2023
Country/TerritoryChina
CityWuhan
Period2/12/233/12/23

Keywords

  • Code Coverage
  • Configuration Security
  • Differential Evolution
  • Fuzz Testing
  • Neural Network
  • UAV

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