Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization.
Aviv YehezkelEyal ElyashivOr SofferPublished in: AISec@CCS (2021)
Keyphrases
- transfer learning
- network anomaly detection
- prediction with expert advice
- anomaly detection
- network intrusion detection
- learning tasks
- knowledge transfer
- self organizing maps
- machine learning
- cross domain
- reinforcement learning
- active learning
- collaborative filtering
- text classification
- semi supervised learning
- labeled data
- learning algorithm
- machine learning algorithms
- text categorization
- multi task
- domain adaptation
- transfer knowledge
- text mining
- transferring knowledge
- domain specific
- support vector machine
- prior knowledge
- alert correlation
- bayesian networks
- image segmentation