hmishra2250/Botnet-Detection-using-Machine-Learning

Uses behavioral flow analysis with ensemble machine learning classifiers to detect botnets from network traffic. Includes a custom Python-based flow generator for bidirectional traffic extraction and feature engineering, alongside deep learning models for classification. Evaluated on the ISCX UNB botnet dataset with comparative analysis across multiple classifier combinations.

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