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

111

421

mit

11

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

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

Created 2021-05-25

50 commits to main branch, last one about a year ago

PWPAE-Concept-Drift-Detection-and-Adaptation Western-OC2-Lab

44

204

mit

21

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for...

iot drift lightgbm cicids2017 data-stream concept-drift streaming-data change-detector drift-detection online-learning machine-learning adaptive-learning anomaly-detection ensemble-learning iot-data-analytics real-time-analytics intrusion-detection-system

Created 2021-08-16

33 commits to main branch, last one about a year ago

Anomaly-Detection-in-Networks-Using-Machine-Learning kahramankostas

67

194

unknown

5

A thesis submitted for the degree of Master of Science in Computer Networks and Security

cicids2017 anomalydetection attack-filtering machine-learning anomaly-detection

Created 2018-10-25

13 commits to master branch, last one 3 years ago

dbn-based-nids othmbela

16

73

apache-2.0

1

An Intrusion Detection System based on Deep Belief Networks

cicids2017 deep-learning deep-belief-networks intrusion-detection-system

Created 2022-05-13

50 commits to master branch, last one 2 years ago

CICIDS2017 elifnurkarakoc

19

55

unknown

0

CICIDS2017 dataset

cicids2017 attack-filtering machine-learning anamoly-detection feature-selection

Created 2018-12-03

6 commits to master branch, last one 2 years ago

MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation Western-OC2-Lab

8

31

mit

4

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stre...

iot drift cicids2017 data-stream concept-drift streaming-data change-detector drift-detection online-learning machine-learning adaptive-learning anomaly-detection ensemble-learning data-preprocessing iot-data-analytics feature-engineering real-time-analytics intrusion-detection-system

Created 2022-10-01

26 commits to main branch, last one about a year ago