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[HTML][HTML] Using a long short-term memory recurrent neural network (LSTM-RNN) to classify network attacks

PS Muhuri, P Chatterjee, X Yuan, K Roy, A Esterline - Information, 2020 - mdpi.com
An intrusion detection system (IDS) identifies whether the network traffic behavior is normal
or abnormal or identifies the attack types. Recently, deep learning has emerged as a …
被引用次数：81 相关文章
[PDF] academia.edu

[PDF][PDF] Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

PS Muhuri, P Chatterjee, X Yuan, K Roy, A Esterline - academia.edu
An intrusion detection system (IDS) identifies whether the network traffic behavior is normal
or abnormal or identifies the attack types. Recently, deep learning has emerged as a …

Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

PS Muhuri, P Chatterjee, X Yuan, K Roy, A Esterline - Information, 2020 - cir.nii.ac.jp
抄録< jats: p> An intrusion detection system (IDS) identifies whether the network traffic
behavior is normal or abnormal or identifies the attack types. Recently, deep learning has …

Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks.

PS Muhuri, P Chatterjee, X Yuan… - Information (2078 …, 2020 - search.ebscohost.com
An intrusion detection system (IDS) identifies whether the network traffic behavior is normal
or abnormal or identifies the attack types. Recently, deep learning has emerged as a …
[PDF] semanticscholar.org

[PDF][PDF] Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

PS Muhuri, P Chatterjee, X Yuan, K Roy, A Esterline - pdfs.semanticscholar.org
An intrusion detection system (IDS) identifies whether the network traffic behavior is normal
or abnormal or identifies the attack types. Recently, deep learning has emerged as a …