Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Date Created 2021-05-25 (3 years ago)

Commits 50 (last one about a year ago)

Stargazers 485 (1 this week)

Watchers 11 (0 this week)

Forks 127

License mit

Ranking

RepositoryStats indexes 638,211 repositories, of these Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning is ranked #97,772 (85th percentile) for total stargazers, and #186,760 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,134/19,305.

Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning is also tagged with popular topics, for these it's ranked: machine-learning (#2,141/8458), autonomous-vehicles (#44/196), cyber-security (#33/169), network-security (#45/131), hyperparameter-optimization (#40/126)

All Topics

hpo kmeans xgboost catboost lightgbm stacking cicids2017 decision-tree random-forest cyber-security python-examples machine-learning network-security ensemble-learning autonomous-vehicles intrusion-detection bayesian-optimization intrusion-detection-system hyperparameter-optimization

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Recent Commit History

29 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2025-04-12 @ 07:37am, id: 370748417 / R_kgDOFhksAQ