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cic-ids-2018

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CourseOverflow / network_anomaly_detection

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Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik

react redis flask machine-learning celery research-project network-analysis cicflowmeter xgboost-classifier cic-ids-2018
  • Updated Aug 21, 2024
  • Jupyter Notebook

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