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WUSTL-IIOT-2021
- Citation Author(s):
- Submitted by:
- Maede Zolanvari
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/yftq-n229
- Data Format:
- Research Article Link:
- Links:
- License:
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Abstract
We elaborate on the dataset collected from our testbed developed at Washington University in St. Louis, to perform real-world IIoT operations, carrying out attacks that are more prelevant against IIoT systems. This dataset is to be utilized in the research of AI/ML based security solutions to tackle the intrusion problem.
Our IIoT network security dataset has been released to support the research community for a more realistic and diverse data collection in different extensive sub-fields of AI for IIoT that there is an increasing interest in, such as explainable AI, distributed AI, etc.
Documentation
Attachment | Size |
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WUSTL-IIOT-2021.pdf | 262.49 KB |
Comments
I want this dataset, please!