Datasets
Development data
The following data on hourly historical SCADA operations are provided:
- Training Dataset 1: This dataset was released on November 20 2016, and it was generated from a one-year long simulation. The dataset does not contain any attacks, i.e. all the data pertains to C-Town normal operations.
- Training Dataset 2: This dataset with partially labeled data was released on November 28 2016. The dataset is around 6 months long and contains several attacks, some of which are approximately labeled.
- Test Dataset: This 3-months long dataset contains several attacks but no labels. The dataset was released on February 20 2017, and it is used to compare the performance of the algorithms (see rules document for details).
Training Dataset 2 List of attacks in Training Dataset 2
Test Dataset List of attacks in Test Dataset
Reference
If you are using the datasets in your work, please cite the following paper as reference:Riccardo Taormina and Stefano Galelli and Nils Ole Tippenhauer and Elad Salomons and Avi Ostfeld and Demetrios G. Eliades and Mohsen Aghashahi and Raanju Sundararajan and Mohsen Pourahmadi and M. Katherine Banks and B. M. Brentan and Enrique Campbell and G. Lima and D. Manzi and D. Ayala-Cabrera and M. Herrera and I. Montalvo and J. Izquierdo and E. Luvizotto and Sarin E. Chandy and Amin Rasekh and Zachary A. Barker and Bruce Campbell and M. Ehsan Shafiee and Marcio Giacomoni and Nikolaos Gatsis and Ahmad Taha and Ahmed A. Abokifa and Kelsey Haddad and Cynthia S. Lo and Pratim Biswas and M. Fayzul K. Pasha and Bijay Kc and Saravanakumar Lakshmanan Somasundaram and Mashor Housh and Ziv Ohar; "The Battle Of The Attack Detection Algorithms: Disclosing Cyber Attacks On Water Distribution Networks." Journal of Water Resources Planning and Management, 144 (8), August 2018. (doi link, bib)
Other data
Two additional datasets were originally included in the BATADAL competition. These datasets, formerly known as Dataset 1 and Dataset 2, were eventually removed as they were generated with demand patterns that differed from those featured in the test dataset.