Flow to image conversion is a pivotal preprocessing step in intrusion detection systems (IDS) where the representation of network flow data significantly influences classifier performance. In this study, we explore the effects of three distinct methods of transforming flow data into images on classifier performance.

DOI Link: 
10.21227/722d-7p84
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Dataset Files

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[1] Hicham YZZOGH, "Dataset for Image-Based Traffic Classification in SDN", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/722d-7p84. Accessed: Oct. 09, 2024.
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doi = {10.21227/722d-7p84},
url = {http://dx.doi.org/10.21227/722d-7p84},
author = {Hicham YZZOGH },
publisher = {IEEE Dataport},
title = {Dataset for Image-Based Traffic Classification in SDN},
year = {2024} }
TY - DATA
T1 - Dataset for Image-Based Traffic Classification in SDN
AU - Hicham YZZOGH
PY - 2024
PB - IEEE Dataport
UR - 10.21227/722d-7p84
ER -
Hicham YZZOGH. (2024). Dataset for Image-Based Traffic Classification in SDN. IEEE Dataport. http://dx.doi.org/10.21227/722d-7p84
Hicham YZZOGH, 2024. Dataset for Image-Based Traffic Classification in SDN. Available at: http://dx.doi.org/10.21227/722d-7p84.
Hicham YZZOGH. (2024). "Dataset for Image-Based Traffic Classification in SDN." Web.
1. Hicham YZZOGH. Dataset for Image-Based Traffic Classification in SDN [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/722d-7p84
Hicham YZZOGH. "Dataset for Image-Based Traffic Classification in SDN." doi: 10.21227/722d-7p84