说明: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 descr iption to train a classifier to identify the network traffic into norm <weixin_44248411> 上传 | 大小:661kb
说明:Abstract:we jointly train two deep neural networks, R and D. The latter plays as the discriminator while the former, during training, helps D characterize a probability distribution for the target class by creating adversarial examples and, during te <weixin_44248411> 上传 | 大小:1mb