Summary: SWaT is an operational testbed for water treatment, providing data under normal and attack scenarios for cybersecurity research.
| Parameter | Value |
|---|---|
| Name | Secure Water Treatment (SWaT) Dataset |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | Yes |
| Missing Values | No |
| Dataset Characteristics | Multivariate, Time-Series |
| Feature Type | Real |
| Associated Tasks | Classification, Anomaly Detection |
| Number of Instances | N/A |
| Number of Features | 51 |
| Date Donated | 2015-12-02 |
| Source | iTrust, Singapore University of Technology and Design |
11 days of continuous operation: 7 under normal operation and 4 days with attack scenarios. Collected network traffic and all the values obtained from all 51 sensors and actuators. Data labeled according to normal and abnormal behaviors. Attack Scenarios: Derived through the attack models developed by our research team. The attack model considers the intent space of a CPS as an attack model. 41 attacks were launched during the 4 days and are described in the PDF.
Water treatment, Cybersecurity, Anomaly detection, Sensor data, Time-series data