HAI 1.0: HIL-based Augmented ICS Security Dataset

Authors: 

Hyeok-Ki Shin, Woomyo Lee, Jeong-Han Yun, and HyoungChun Kim, The Affiliated Institute of ETRI

Short Extended Work Paper

Abstract: 

Datasets are paramount to the development of AI-based technologies. However, the available cyber-physical system (CPS) datasets are insufficient. In this paper, we introduce HAI dataset 1.0 (https://github.com/icsdataset/hai), the first CPS dataset collected using the HAI testbed. The HAI testbed comprises three physical control systems, namely a GE turbine, Emerson boiler, and FESTO water treatment systems, combined through a dSPACE hardware-in-the-loop (HIL) simulator. We built an environment to remotely and automatically manipulate all components of a feedback control loop. Using this environment, we collected HAI dataset 1.0 while repeatedly running a large number of benign and malicious scenarios for a long period with minimal human effort. We will continue to improve the HAI testbed and release new versions of the HAI dataset.

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BibTeX
@inproceedings {256936,
author = {Hyeok-Ki Shin and Woomyo Lee and Jeong-Han Yun and HyoungChun Kim},
title = {{HAI} 1.0: HIL-based Augmented {ICS} Security Dataset},
booktitle = {13th {USENIX} Workshop on Cyber Security Experimentation and Test ({CSET} 20)},
year = {2020},
url = {https://www.usenix.org/conference/cset20/presentation/shin},
publisher = {{USENIX} Association},
month = aug,
}

Presentation Video