Amina-SAHBI/Intrusion-Detection-Benchmarking-on-SDN-Net-Dataset: SDN-Net Release

Domaine:

digital infrastructure

Type de record:

dataset

Créateur:

Ami

Éditeur:

Hôte:

Intrusion Detection Benchmarking on SDN-Net Dataset provides implementation and evaluation of 12 classifiers for intrusion detection on flow-level traffic. Models include Random Forest, Decision Tree, KNN, Naïve Bayes, SVM, Gradient Boosting, RNN, CNN, MLP, SGD, LR, and Autoencoder. Code is organized for reproducible benchmarking on SDN-Net flows.

Visit

doi.org zenodo.org

Tasks

text classification

Languages

Licenses

MIT License https://opensource.org/licenses/MIT

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