Maede Zolanvari

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.

Dataset Files

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File WUSTL-IIOT-2021.pdf262.49 KB
[1] Maede Zolanvari, "WUSTL-IIOT-2021", IEEE Dataport, 2021. [Online]. Available: Accessed: May. 18, 2022.
doi = {10.21227/yftq-n229},
url = {},
author = {Maede Zolanvari },
publisher = {IEEE Dataport},
title = {WUSTL-IIOT-2021},
year = {2021} }
T1 - WUSTL-IIOT-2021
AU - Maede Zolanvari
PY - 2021
PB - IEEE Dataport
UR - 10.21227/yftq-n229
ER -
Maede Zolanvari. (2021). WUSTL-IIOT-2021. IEEE Dataport.
Maede Zolanvari, 2021. WUSTL-IIOT-2021. Available at:
Maede Zolanvari. (2021). "WUSTL-IIOT-2021." Web.
1. Maede Zolanvari. WUSTL-IIOT-2021 [Internet]. IEEE Dataport; 2021. Available from :
Maede Zolanvari. "WUSTL-IIOT-2021." doi: 10.21227/yftq-n229