HNN: A Novel Model to Study the Intrusion Detection Based on Multi-Feature Correlation and Temporal-Spatial Analysis

Network intrusion poses a severe threat to the Internet. Intrusion detection methods based on deep learning are very effective to process and analyze intrusion data. On the one hand, they use the Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) models to extract spatial and temporal features, respectively. However, they either adopt a single model or operate two models in serie...