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

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

Documentation: 
[1] Nour Moustafa, "ToN_IoT datasets", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/fesz-dm97. Accessed: Feb. 12, 2025.
@data{fesz-dm97-19,
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
UR - 10.21227/fesz-dm97
ER -
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