RTPS Attack Dataset Description

TL;DR

This paper presents a dataset of malicious and benign RTPS network traffic collected from a UGV testbed, aimed at supporting security research in ROS2 and Fast-DDS systems.

Contribution

It introduces a comprehensive RTPS attack dataset with varied attack types and durations, facilitating development of security and anomaly detection methods.

Findings

Dataset includes 240 attack and benign scenarios.

Data covers command injection and ARP spoofing attacks.

Collected data supports security research in ROS2 networks.

Abstract

This paper explains all about our RTPS datasets. We collect malicious/benign packet data by injecting attack data in an Unmanned Ground Vehicle (UGV) in the normal state. We assembled the testbed, consisting of UGV, Controller, PC, and Router. We collect this dataset in the UGV part of our testbed. We conducted two types of attack "Command Injection" and "Command Injection with ARP Spoofing" on our testbed. The data collection time is 180, 300, 600, and 1200. The scenario has 30 each on collection time, 240 total. We expect this dataset to contribute to the development of defense technologies like anomaly detection to address security threat issues in ROS2 networks and Fast-DDS implements.