[Paper Review]

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“Title ROSPaCe: Intrusion Detection Dataset for a ROS2-Based CyberPhysical System and IoT Networks”:

Journal: SCIENTIFIC DATA - NATURE

Context: CyberPhysical System and IoT Networks

Addressed problem:

• Most of the intrusion detection datasets to research machine learning-based intrusion detection systems (IDSs) are devoted to cyber-only systems, and they typically collect data from one architectural layer.
• Attacks are generated in dedicated attack sessions, without reproducing the realistic alternation and overlap of normal and attack actions.

Proposal:

• Authors proposed a dataset for intrusion detection by performing penetration testing on an embedded cyber-physical system built over Robot Operating System 2 (ROS2).
• Features are monitored from three architectural layers: the Linux operating system, the network, and the ROS2 services.
• The dataset is structured as a time series and describes the expected behavior of the system and its response to ROS2-specifc attacks: it repeatedly alternates periods of attack-free operation with periods when a specifc attack is being performed.

Dataset: New proposal.

Figure:

Main contribution or disruptive approach:

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