A hardware-in-the-loop Secure Water Treatment dataset for cyber-physical security testing

This dataset supports researchers in the validation process of solutions such as Intrusion Detection Systems (IDS) based on artificial intelligence and machine learning techniques for the detection and categorization of threats in Cyber Physical Systems (CPS). To that aim, data have been acquired from a Secure Water Treatment (SWaT) hardware-in-the-loop testbed which emulates water passage between nine tanks via solenoid-valves, pumps, pressure and flow sensors. The testbed is composed by a real partition which is virtually connected to a simulated one. The presented dataset consists of both physical and virtual process measurements in order to highlight the consequences of attacks in the physical process, in control variables as well as in network traffic behavior. Data have been acquired during four different acquisitions for a total of about two hours in normal behaviour and in presence of anomalies induced by different types of physical and/or cyber events.