Semi-supervised network traffic classification using deep generative models.
Tan LiShuangwu ChenZhen YaoXiang ChenJian YangPublished in: ICNC-FSKD (2018)
Keyphrases
- network traffic
- generative model
- semi supervised
- discriminative learning
- discriminative methods
- supervised learning
- semi supervised learning
- intrusion detection
- unsupervised learning
- anomaly detection
- co training
- classification accuracy
- intrusion detection system
- probabilistic model
- active learning
- support vector
- pairwise constraints
- labeled data
- naive bayes models
- hierarchical hidden markov models
- machine learning
- feature selection
- decision trees
- text classification
- discriminative models
- conditional random fields
- prior knowledge
- pairwise
- object categories
- training set
- weakly supervised
- feature space
- data mining
- model selection
- deep belief networks
- restricted boltzmann machine
- class labels
- information extraction
- image classification
- unlabeled data
- expectation maximization
- em algorithm