Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial-temporal features extraction.
Gianni D'AngeloFrancesco PalmieriPublished in: J. Netw. Comput. Appl. (2021)
Keyphrases
- features extraction
- network traffic
- spatial temporal
- automatic classification
- intrusion detection
- pattern recognition
- restricted boltzmann machine
- feature extraction
- deep learning
- anomaly detection
- spatio temporal
- intrusion detection system
- classification accuracy
- spatial and temporal
- character recognition
- image segmentation
- image classification
- extracted features
- unsupervised learning
- machine learning
- text classification
- co occurrence
- knowledge discovery
- training data
- feature selection