cicids2017

There are 0 repository under cicids2017 topic.

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..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 344
Western-OC2-Lab / PWPAE-Concept-Drift-Detection-and-Adaptation
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 Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
machine-learning anomaly-detection iot data-stream drift online-learning real-time-analytics concept-drift change-detector intrusion-detection-system cicids2017 drift-detection iot-data-analytics lightgbm adaptive-learning ensemble-learning streaming-data
Language:Jupyter Notebook 195
kahramankostas / Anomaly-Detection-in-Networks-Using-Machine-Learning
A thesis submitted for the degree of Master of Science in Computer Networks and Security
anomaly-detection anomalydetection attack-filtering cicids2017 machine-learning
Language:Jupyter Notebook 167
othmbela / dbn-based-nids
An Intrusion Detection System based on Deep Belief Networks
cicids2017 deep-belief-networks deep-learning intrusion-detection-system
Language:Jupyter Notebook 66
elifnurkarakoc / CICIDS2017
CICIDS2017 dataset
machine-learning cicids2017 anamoly-detection attack-filtering feature-selection
Language:Jupyter Notebook 45
Western-OC2-Lab / MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation
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 Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.
adaptive-learning anomaly-detection change-detector cicids2017 concept-drift data-preprocessing data-stream drift drift-detection ensemble-learning feature-engineering intrusion-detection-system iot iot-data-analytics machine-learning online-learning real-time-analytics streaming-data
Language:Jupyter Notebook 30
aaaastark / Intrusion-Detection-System
Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
intrusion-detection-system attack-detection brute-force catboost cicids2017 cse-cic-ids-2018 ddos-attacks dos-attack lgbm machine-learning python web-attacks binary-classification multiclass-classification research-project thesis-project
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georgeani / NIDS_Dissertation_2021
This repository contains my third year dissertation. My dissertation focused in evaluating and creating a DNN for a Network Intrusion Detection System (NIDS).
dnn ids imbalanced-learning keras nids sklearn tensorflow cicids2017
Language:Jupyter Notebook 6