Latent-Insensitive Autoencoders for Anomaly Detection and Class-Incremental Learning.
Muhammad S. BattikhArtem A. LenskiyPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- incremental learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalous
- fuzzy artmap
- incremental learning algorithm
- network anomaly detection
- intrusion detection system
- malware detection
- one class support vector machines
- semi supervised
- unsupervised anomaly detection
- behavior analysis
- negative selection algorithm
- neural network
- learning process
- network security
- unsupervised learning
- supervised learning
- support vector machine
- pattern recognition
- normal behavior
- latent variables
- network intrusion
- reinforcement learning
- data sets