The proposed method uses Autoencoder based Deep Neural Network (AEDNN) trained with NSL-KDD dataset to efficiently detect possible cyber threats. This paper proposed AEDNN to detect automated threats ...

especially the growth of deep learning and its entry into the world of communications such as autoencoder, and this is likely due to its ability to bypass the impact of the noise that the signal ...