(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and
can therefore model data as a time series. LSTM is trained and tested on a processed
version of the KDDCup99 dataset. A variety of suitable performance measures are
discussed and applied. Our LSTM network structure and parameters are experimentally
obtained within a series of experiments presented. Results finally show that LSTM is able to …