Deep Transfer Learning Applications in Intrusion Detection Systems: A Comprehensive Review.
Hamza KheddarYassine HimeurAli Ismail AwadPublished in: CoRR (2023)
Keyphrases
- transfer learning
- intrusion detection system
- intrusion detection
- network security
- anomaly detection
- learning tasks
- computer networks
- network traffic
- network intrusion detection
- knowledge transfer
- labeled data
- reinforcement learning
- collaborative filtering
- text categorization
- distributed intrusion detection
- multi task
- machine learning
- transfer knowledge
- cyber security
- cross domain
- machine learning algorithms
- network intrusion detection systems
- alert correlation
- text mining
- active learning
- semi supervised learning
- learning algorithm
- text classification
- target domain
- domain adaptation
- intrusion prevention
- data mining techniques
- real world
- databases
- computer systems
- transferring knowledge
- database
- similarity measure
- high dimensional
- maximum likelihood
- unlabeled data