Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models.
Yogesh PawarManar AmayriNizar BouguilaPublished in: ICIT (2021)
Keyphrases
- anomaly detection
- mixture model
- unsupervised learning
- intrusion detection
- connectionist systems
- learning process
- learning algorithm
- anomalous behavior
- network traffic
- detecting anomalies
- maximum likelihood
- probabilistic model
- supervised learning
- expectation maximization
- network intrusion detection
- prior knowledge
- em algorithm
- data sets
- detecting anomalous
- network anomaly detection
- one class support vector machines
- discriminative learning
- gaussian mixture model
- reinforcement learning
- pattern recognition
- model selection
- active learning