Secure Water Treatment (SWaT) Dataset

Intrusion detection for Cyber Physical Systems (CPS) suffer from accurate evaluation and benchmarking comparisons. This is mainly due to the lack of datasets in this research area. Majority of the intrusion detection datasets currently available focus on network traffic which is inadequate for CPS intrusion detection. Thus, researchers resort to simulating CPS data that are often suboptimal. As cyber-attacks can cause the behaviour of the CPS to change drastically, it is necessary to generate a dataset that reflects the complexity of system through the evolution of the intrusions.

The SWaT Dataset was systematically generated from the Secure Water Treatment Testbed to address this need. The data collected from the testbed consists of 11 days of continuous operation. 7 days’ worth of data was collected under normal operation while 4 days’ worth of data was collected with attack scenarios.  During the data collection, all network traffic, sensor and actuator data were collected.

The goal for this dataset is to assist various researchers in designing solutions, testing, evaluation, and comparison purposes for CPSs research.

Characteristics of dataset

  1. Network Traffic and Cyber Physical Properties: The dataset contains all the network traffic captured during this time. The dataset also consists of all the values obtained from all the 51 sensors and actuators available in SWaT.
  2. Labelled: All the data acquired during this process are labelled according to normal and abnormal behaviours
  3. Attack Scenarios: The attacks generated for this dataset were derived through the attack models developed by our research team. The attack model considers the intent space of a CPS as an attack model. 36 attacks were launched during the 4 days and are described in the PDF.

Dataset download

To request the following datasets, please contact kaungmyat_aung@sutd.edu.sg for login details, and provide your name and organisation details*.

  • SWaT Normal Data (7 Days)
  • SWaT with Attack Data (4 days)
  • SWaT Network Traffic (11 days)
  • Attack Descriptions

Technical information of SWaT can be found here.

Publication

Goh J., Adepu S., Junejo K. N., and Mathur A., “A Dataset to Support Research in the Design of Secure Water Treatment Systems,” The 11th International Conference on Critical Information Infrastructures Security.

* By requesting for and receiving the dataset, you agree to have your name, the name of your organisation and date of request published below, and to give credit to “iTrust, Centre for Research in Cyber Security, Singapore University of Technology and Design” when the dataset is used for your (published) work.

Historical dataset requests

S/N Name Organisation Date of request
1 Abdolmaleki Yousef  Iran University of Science and Technology 16 Nov 16
2 William Jardine  MWR InfoSecurity 12 Dec 16
3 Gérald Rocher Nice Cote d’Azur  25 Jan 17
4 Robert Kooij TNO 9 Feb 17
5 Yoriyuki Yamagata  National Institute of Advanced Industrial Science and Technology  10 Feb 17
6 Surendar SASTRA University 15 Feb 17
7 Alissa R. Gibson Coastal Carolina University 28 Feb 17
8 Kevin Skender Uptake 5 Apr 17
9 Xiaoxue Liu University of Toronto 5 Apr 17
10 Sicco Verwer Delft University of Technology 11 Apr 17
11 Mohammad Mehdi Ahmadian Amirkabir University of Technology  15 Apr 17
12 Hailong Liu Beijing University of Aeronautics and Astronautics 29 Apr 17
13 Kasun S Perera  Singapore University of Technology and Design 2 May 17
14 Yanjie Fu Missouri University of Science and Technology 3 May 17
15 Bo Li Beihang University 4 May 17 
16 Shameek Bhattacharjee Missouri University of Science and Technology 8 May 17 
17 Meng Guozhu Nanyang Technological University 10 May 17
18 Long Cheng Virginia Polytechnic Institute and State University 11 May 17