Intrusion Detection System exampple realized using a simple neural network.
The NN provides a binary classification for connections by labeling them as normal or anomalous. Training and testing is performed on the NSL-KDD dataset. A detailed analysis is provided in the IDS_NN.pdf file.
src/ contains the Jupyter Notebook code used for preparing the dataset and training the models (Keras + Tensorflow).
report/ contains the LaTeX code for the report.