UAV_NIDD_Based_UAV网络安全入侵检测动态数据集

本数据集为UAV-NIDD，聚焦无人机（UAV）网络的网络安全与入侵检测，包含三种核心攻击场景：被劫持UAV发起全网攻击、接入点被劫持引发全网入侵、地面控制站（GCS）被劫持实施全网攻击。覆盖扫描、侦察、DoS、DDoS、GPS干扰与欺骗等多种攻击类型，支持AI/ML解决方案开发，增强UAV网络抗威胁能力。

This dataset, named UAV-NIDD, focuses on cybersecurity and intrusion detection for unmanned aerial vehicle (UAV) networks. It includes three core attack scenarios: full-network attacks initiated by compromised UAVs, network-wide intrusion triggered by hijacked access points, and full-network attacks launched by hijacked ground control stations (GCS). The dataset covers various attack types such as scanning, reconnaissance, DoS, DDoS, GPS jamming and spoofing, and supports the development of AI/ML-based solutions to enhance the threat resilience of UAV networks.

搜集汇总

背景与挑战

背景概述

该数据集名为UAV-NIDD，专注于无人机网络的安全入侵检测，包含被劫持UAV、接入点和地面控制站引发的三种核心攻击场景，覆盖扫描、DoS、DDoS、GPS干扰与欺骗等多种攻击类型。数据以CSV格式提供，适用于开发和验证AI/ML入侵检测算法、分析网络安全威胁以及模拟攻防场景，旨在增强无人机网络的抗威胁能力。