Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data
RC Staudemeyer, CW Omlin - Proceedings of the South African institute …, 2013 - dl.acm.org
This paper evaluates the performance of long short-term memory recurrent neural networks
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
[PDF][PDF] Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data
RC Staudemeyer, CW Omlin - academia.edu
This paper evaluates the performance of long short-term memory recurrent neural networks
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
[PDF][PDF] Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data
RC Staudemeyer, CW Omlin - researchgate.net
This paper evaluates the performance of long short-term memory recurrent neural networks
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
[PDF][PDF] Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data
RC Staudemeyer, CW Omlin - itsec.hs-sm.de
This paper evaluates the performance of long short-term memory recurrent neural networks
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …
(LSTM-RNN) on classifying intrusion detection data. LSTM networks can learn memory and …