基于适配性和覆盖率双重指导的无人机配置参数动态模糊测试

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Connection Science Pub Date : 2024-02-14 DOI:10.1080/09540091.2024.2312104

Yuexuan Ma, Xiao Yu, Li Zhang, Zhao Li, Yuanzhang Li, Yu-an Tan

引用次数: 0

摘要

ArduCopter 的配置参数验证缺陷可能会导致无人飞行器（UAV）处于异常状态。然而，传统的无人飞行器配置参数缺陷检测方法无法检测出这些缺陷。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage

ArduCopter's configuration parameter verification defects may cause the Unmanned Aerial Vehicle (UAV) in abnormal status. However, traditional UAV configuration parameter defect detection methods b...

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.