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Gradient Boosting Machine (XGBoost, CatBoost, RandomForest, Decision Tree, Scikit learn) based network intrusion detection method, on imbalanced CIC-IDS-2018 dataset

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Jumabek/catboost-nids

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Source code for paper "CatBoost-Based Network Intrusion Detection on Imbalanced CIC-IDS-2018 Dataset"

Network Intrusion Detection on AWS CIC-IDS-2018 dataset

Comparison of tree based classifiers

  • Catboost
  • DecisionTree
  • Random Forest

Read the paper for Investigating effect of data balancing technique for handling imbalanced data

If you find this work useful, please consider to cite our paper:

@article{jumabek2021catboost,
  title={CatBoost-Based Network Intrusion Detection on Imbalanced CIC-IDS-2018 Dataset},
  author={Jumabek, Alikhanov and Yang, SeungSam and Noh, YoungTae},
  journal={한국통신학회논문지},
  volume={46},
  number={12},
  pages={2191--2197},
  year={2021}
}

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Gradient Boosting Machine (XGBoost, CatBoost, RandomForest, Decision Tree, Scikit learn) based network intrusion detection method, on imbalanced CIC-IDS-2018 dataset

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