Collecting and analysing heterogeneous data sources from the Internet of Things (IoT) and Industrial IoT (IIoT) are essential for training and validating the fidelity of cybersecurity applications-based machine learning.  However, the analysis of those data sources is still a big challenge for reducing high dimensional space and selecting important features and observations from different data sources.

Dataset Files

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Documentation: 
[1] Nour Moustafa, "ToN_IoT datasets", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/fesz-dm97. Accessed: Jul. 01, 2022.
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doi = {10.21227/fesz-dm97},
url = {http://dx.doi.org/10.21227/fesz-dm97},
author = {Nour Moustafa },
publisher = {IEEE Dataport},
title = {ToN_IoT datasets},
year = {2019} }
TY - DATA
T1 - ToN_IoT datasets
AU - Nour Moustafa
PY - 2019
PB - IEEE Dataport
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Nour Moustafa. (2019). ToN_IoT datasets. IEEE Dataport. http://dx.doi.org/10.21227/fesz-dm97
Nour Moustafa, 2019. ToN_IoT datasets. Available at: http://dx.doi.org/10.21227/fesz-dm97.
Nour Moustafa. (2019). "ToN_IoT datasets." Web.
1. Nour Moustafa. ToN_IoT datasets [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/fesz-dm97
Nour Moustafa. "ToN_IoT datasets." doi: 10.21227/fesz-dm97