ROSPaCe

ROSPaCe是首个针对ROS2的入侵检测数据集，由佛罗伦萨大学数学与信息科学系创建。该数据集包含超过3000万条数据，涵盖Linux操作系统、网络和ROS2服务三个层次的特征。数据集通过在实际运行的ROS2系统上进行渗透测试收集，旨在解决现有数据集在模拟攻击与正常操作交替方面的不足。ROSPaCe数据集特别适用于训练和评估针对ROS2系统的入侵检测系统，能够有效测量攻击检测时间和恶意活动数量，为网络安全领域提供重要资源。

ROSPaCe is the first intrusion detection dataset for ROS2, created by the Department of Mathematics and Computer Science of the University of Florence. This dataset contains over 30 million data entries, covering features from three levels: Linux operating system, network, and ROS2 services. It is collected through penetration testing conducted on an actively running ROS2 system, aiming to address the shortcomings of existing datasets in alternating simulated attacks and normal operations. The ROSPaCe dataset is particularly suitable for training and evaluating intrusion detection systems targeting ROS2 systems, and can effectively measure attack detection time and the number of malicious activities, providing an important resource for the field of cybersecurity.

搜集汇总

背景与挑战

背景概述

ROSPaCe是首个针对ROS2系统的入侵检测数据集，由佛罗伦萨大学数学与信息科学系创建，包含超过3000万条数据，涵盖Linux操作系统、网络和ROS2服务三个层次的特征。该数据集通过在实际ROS2系统上进行渗透测试收集，解决了现有数据集在攻击与正常操作交替模拟方面的不足，专门用于训练和评估ROS2入侵检测系统，能有效测量检测时间和恶意活动数量，是网络安全领域的重要资源。