Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Cyber-attack classification in the network traffic database using NSL-KDD dataset
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
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
Python-based tool designed to process network traffic packets and extract features compliant with the NSL-KDD dataset format.
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.
Análise de algoritmos de aprendizagem de máquina para identificação de ataques utilizando a base NSL-KDD
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