The following program is capable of analyzing network traffic with multiple different machine learning (ML) and feature selection algorithms to determine whether or not it is malicious.
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Updated
Jun 18, 2024 - Python
The following program is capable of analyzing network traffic with multiple different machine learning (ML) and feature selection algorithms to determine whether or not it is malicious.
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
Quick Layered Correlation-based Feature Filtering
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Cyber-attack classification in the network traffic database using NSL-KDD dataset
Análise de algoritmos de aprendizagem de máquina para identificação de ataques utilizando a base NSL-KDD
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
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