TAD: Transfer learning-based multi-adversarial detection of evasion attacks against network intrusion detection systems.
Islam DebichaRichard BauwensThibault DebattyJean-Michel DricotTayeb KenazaWim MeesPublished in: Future Gener. Comput. Syst. (2023)
Keyphrases
- network intrusion detection systems
- transfer learning
- intrusion detection
- intrusion detection system
- network intrusion
- learning tasks
- cross domain
- knowledge transfer
- network intrusion detection
- anomaly detection
- active learning
- labeled data
- reinforcement learning
- network security
- machine learning
- countermeasures
- text classification
- network traffic
- multi task
- manifold alignment
- collaborative filtering
- domain adaptation
- semi supervised learning
- transferring knowledge
- computer networks
- transfer knowledge
- computer systems
- learning algorithm
- detection algorithm
- target domain
- fraud detection
- probabilistic model
- information extraction
- object recognition
- multi class
- information systems
- data mining techniques
- text categorization