Botnet-Detection-Using-ML
• Built a Botnet Detector that applies Deep Learning to assess a dataset and train itself to identify the existence of bots in a network by analyzing the IRC traffic using the signatures of bots.
• Programmed a flow-based feature system, that performs with different accuracies based on the algorithm being chosen for classification.
Data flow diagrams
Fig1: Level 0 of the flow diagram
Fig 2: Level 1 of the flow diagram
