Drone Sensor Fusion Dataset

The Drone Sensor Fusion Dataset features high-quality telemetry data from real and attack-modeled UAV flights, leveraging the PX4 flight log dataset. This includes normal flight data prepared for machine learning model training and simulated attack data generated using the 'Coordinated Sensor Manipulation Attack' (CSMA) model. CSMA simulates advanced threats by subtly altering GPS and IMU data to induce undetectable navigation drift. This dataset is essential for developing and validating detection algorithms, making it a valuable resource for both research and practical applications in UAV security.

无人机传感器融合数据集（Drone Sensor Fusion Dataset）依托PX4飞行日志数据集，收录了真实无人机飞行与攻击模拟飞行场景下的高质量遥测数据。该数据集包含用于机器学习模型训练的正常飞行数据，以及采用「协同传感器操纵攻击（Coordinated Sensor Manipulation Attack，CSMA）」模型生成的模拟攻击数据。CSMA通过对GPS与惯性测量单元（Inertial Measurement Unit，IMU）数据进行隐蔽篡改，以引发难以被察觉的导航偏移，以此模拟高级威胁。本数据集对于开发与验证检测算法至关重要，可为无人机安全领域的科研与实际应用提供宝贵的资源支撑。

搜集汇总

背景与挑战

背景概述

该数据集基于PX4飞行日志，提供高质量的真实和模拟攻击无人机飞行遥测数据，包括正常飞行数据和通过'Coordinated Sensor Manipulation Attack'模型生成的模拟攻击数据，后者模拟GPS和IMU数据微妙篡改导致的导航漂移。它专为无人机安全研究设计，用于开发和验证检测算法，适用于学术研究和实际应用。