Deep-Feature-Based Autoencoder Network for Few-Shot Malicious Traffic Detection

Figure 1

Framework of anomaly detection process. Data processing converts raw data with hexadecimal numbers to matrixes. Supervised pretraining accomplishes few-shot training and provides deep features that can be used in autoencoder training process and the data reconstruction process can be completed.