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ML-NetworkIntrusionDetection
ML-NetworkIntrusionDetection PublicForked from VatsalPrajapti/ML-NetworkIntrusionDetection
This repository explores three machine learning models—RandomForest, SVM, and J48—for network intrusion detection. It includes implementations and analyses to determine the most effective model for…
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ComputerSecurityAttacks
ComputerSecurityAttacks PublicForked from MeghaJakhotia/ComputerSecurityAttacks
Contains SEED Labs solutions from Computer Security course by Kevin Du.
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SGM-CNN
SGM-CNN PublicForked from zhang-hongpo/SGM-CNN
Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
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IDS-UNSW-NB15
IDS-UNSW-NB15 PublicForked from SubrataMaji/IDS-UNSW-NB15
Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
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metis_project_05_anomaly_detection
metis_project_05_anomaly_detection PublicForked from adamsxs/metis_project_05_anomaly_detection
Anomaly detection project using the UNSW NB-15 cyberattack dataset
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Network-Intrusion-Detection
Network-Intrusion-Detection PublicForked from vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Python
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