Compromised Process Data in Agent-Based Cyber-Physical Energy Systems

This dataset contains exchanged messages of an agent-based control use case in cyber-physical energy systems. The agents perform self-consumption ooptimization in a neighborhood grid. Next to normal data (no manipulations or incidents happening), this dataset also contains data for compromised process data, for example caused by cyber attacks. One of the agents (generation agent 1, managing a wind device) was manipulated in order to send compromised data. The agent changes its power values by 40-60 % deviation. Thus, the agents manipulation affects the overall solution of the system.