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ROSIDS23: Network intrusion detection dataset for robot operating system.

Elif Değirmenci1, Yunus Sabri Kırca1, İlker Özçelik2

  • 1Department of Computer Engineering, Eskisehir Osmangazi University, Eskisehir, 26048, Turkey.

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|November 29, 2023
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Summary

The ROSIDS23 dataset offers high-fidelity data on Robot Operating System (ROS) cyber-attacks, crucial for advancing robotic system security research and developing effective countermeasures.

Keywords:
Intrusion detection systemNetwork monitoringNetwork trafficROSSecurityTraffic classification

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Area of Science:

  • Robotic Systems Security
  • Cybersecurity
  • Network Forensics

Background:

  • The increasing integration of robotic systems necessitates robust security measures.
  • A lack of high-fidelity datasets hinders research in robotic system security.
  • Existing research often lacks comprehensive data on cyber-attacks targeting robotic middleware.

Purpose of the Study:

  • To introduce the ROSIDS23 dataset, a novel collection of cyber-attack data for robotic systems.
  • To detail the methodology behind the dataset's creation and feature extraction.
  • To provide a valuable resource for enhancing the security of robotic infrastructure.

Main Methods:

  • Data collection within the IFARLab-DIH robotic and factory-level laboratory environment.
  • Utilizing tcpdump to capture network traffic from the Robot Operating System (ROS) middleware.
  • Employing CICFlowMeter to extract 82 traffic features from pcap files and convert them to CSV format.

Main Results:

  • The ROSIDS23 dataset comprises benign and diverse attack traffic from ROS-based networks.
  • Features were extracted and formatted for ease of use in security research.
  • The dataset provides a foundation for analyzing and mitigating cyber threats in robotic systems.

Conclusions:

  • The ROSIDS23 dataset is a significant contribution to robotic system security research.
  • It enables the development and validation of advanced security countermeasures.
  • Facilitates the evolution towards more resilient and secure robotic infrastructure.