Group Anomaly Detection using Deep Generative Models.
Raghavendra ChalapathyEdward TothSanjay ChawlaPublished in: CoRR (2018)
Keyphrases
- anomaly detection
- generative model
- intrusion detection
- probabilistic model
- deep belief networks
- detecting anomalies
- unsupervised learning
- network traffic
- discriminative models
- discriminative learning
- anomalous behavior
- em algorithm
- intrusion detection system
- network intrusion detection
- prior knowledge
- conditional random fields
- generative and discriminative models
- semi supervised
- one class support vector machines
- detect anomalies
- hidden variables
- network anomaly detection
- hierarchical hidden markov models
- expectation maximization
- pattern recognition
- naive bayes
- data sets
- information extraction
- bayesian networks
- feature extraction
- image segmentation