Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
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Updated
May 8, 2019 - Python
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Cyber-attack classification in the network traffic database using NSL-KDD dataset
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"
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Quick Layered Correlation-based Feature Filtering
Análise de algoritmos de aprendizagem de máquina para identificação de ataques utilizando a base NSL-KDD
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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