Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection.
Marek PawlickiRafal KozikMichal ChorasPublished in: ARES (2022)
Keyphrases
- network intrusion detection
- transfer learning
- intrusion detection
- learning tasks
- anomaly detection
- network intrusion
- knowledge transfer
- intrusion detection system
- labeled data
- fraud detection
- semi supervised learning
- reinforcement learning
- cross domain
- multi task
- machine learning
- network traffic
- active learning
- collaborative filtering
- machine learning algorithms
- text categorization
- transfer knowledge
- domain adaptation
- computer networks
- target domain
- transferring knowledge
- text classification
- text mining
- prior knowledge
- recommender systems
- data analysis
- learning algorithm
- data mining
- real world