Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings.
Yuandu LaiYahong HanPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- latent space
- intrusion detection
- detecting anomalies
- unsupervised learning
- network intrusion detection
- latent variables
- category labels
- anomalous behavior
- network traffic
- detecting anomalous
- computer security
- generative model
- behavior analysis
- intrusion detection system
- detect anomalies
- one class support vector machines
- negative selection algorithm
- low dimensional
- dimensionality reduction
- gaussian process latent variable models
- network anomaly detection
- probabilistic model
- network intrusion
- feature selection
- data sets
- genetic algorithm
- unsupervised anomaly detection
- connectionist systems
- normal behavior
- network security
- maximum entropy
- semi supervised
- support vector
- similarity measure
- feature extraction