Research on Network Intrusion Detection and Response Strategies Based on Deep Learning
This article proposes a deep learning based network intrusion detection and response strategy to address the increasingly complex attack methods and difficult to detect intrusion behaviors in the field of network security.The experimental results show that Long Short Term Memory Network(LSTM)performs the best in handling complex network traffic data,outperforming Convolutional Neural Network(CNN)and Recurrent Neural Network(RNN).
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