REAL-TIME NETWORK TRAFFIC CAPTURE AND ANALYSIS USING A DEEP NEURAL NETWORK
Several deep neural networks are compared, namely One-dimensional convolution neural network/1D CNN, Long Short-Term Memory/LSTM and Autoencoder, to reveal the ability of deep neural networks to correctly model the behavior of network traffic and ultimately increase the recognition of compromised data.
Angela Borisova, Krasimir Slavyanov
· Proceedings of the Internati... · 0 citations