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Malware Detection / DDoS attack Detection

Challenge1:

Classification of executable file as benign/malware based on the static and dynamic analysis of the exe file using random forest classifier for training the model.

Challenge2:

Build a ddos detection tool to classify an input network traffic in pacap file as benign/DDOS affected. For training used a time series model and LSTM. Achieved best in class accuracy for the given dataset.

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  • Jupyter Notebook 90.1%
  • Python 9.9%