Summary: WADI is a water distribution testbed dataset providing data under normal and attack scenarios, used for cybersecurity and anomaly detection research.
| Parameter | Value |
|---|---|
| Name | Water Distribution (WADI) 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 | 123 |
| Date Donated | 2017-10-09 |
| Source | iTrust, Singapore University of Technology and Design |
16 days of continuous operation: 14 under normal operation and 2 days with attack scenarios. Data from all 123 sensors and actuators. Attack Scenarios: Derived from the attack models developed by our research team. The attack model considers the intent space of a CPS as an attack model. 15 attacks were launched during the 2 days.
Water distribution, Cybersecurity, Anomaly detection, Sensor data, Time-series data