A_Deep_One class_Model_for_Network_Anomaly_Detecti.pdf

Abstract: We use the stacked autoencoders to select the prominent features from the raw collected data, then apply the one-class classification algorithm support vector data description to train a classifier to identify the network traffic into normal data and anomalous data.