Low-cost fuzzing drone control system for configuration errors threatening flight safety in edge terminals

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Zhiwei Chang, Hanfeng Zhang, Yan Jia, Sihan Xu, Tong Li, Zheli Liu

Published: 01 Jan 2024, Last Modified: 16 May 2025Comput. Commun. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A fuzzing framework that can automatically search for incorrect configuration parameter values of the smart drone control system.•Developed a quality-diversity enhanced genetic algorithm with a novel flight state metric to guide the mutation process.•Designed a set of new test oracles to detect abnormal flight states of drones in real-time.•Discovered 8 software bugs related to configuration parameters.