DAYPSCI: Event-based dataset for anomaly detection through fault injection in PLC-controlled industrial cyber-physical systems
DAYPSCI is presented, an event-based dataset generated using an industrial cyber-physical system (CPS) testbed based on a PLC-controlled part marking station with Siemens S7-1200 and S7-1500 devices that supports the development and evaluation of machine learning methods for anomaly detection and fault classification in industrial CPS.