Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection.
Jorge Casajús-SetiénConcha BielzaPedro LarrañagaPublished in: PGM (2022)
Keyphrases
- anomaly detection
- bayesian networks
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- computer security
- intrusion detection system
- unsupervised anomaly detection
- graphical models
- detecting anomalous
- anomalous behavior
- training set
- unsupervised learning
- behavior analysis
- connectionist systems
- network anomaly detection
- one class support vector machines
- cumulative sum
- detect anomalies
- neural network
- negative selection algorithm
- learning algorithm
- malware detection
- feature selection
- training data
- network security
- probabilistic model