Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.
Andrew McCarthyEssam GhadafiPanagiotis AndriotisPhil LeggPublished in: J. Inf. Secur. Appl. (2023)
Keyphrases
- network traffic
- machine learning
- learning algorithm
- supervised learning
- pattern recognition
- unsupervised learning
- anomaly detection
- normal traffic
- feature selection
- active learning
- ddos attacks
- network intrusions
- model selection
- countermeasures
- traffic analysis
- reinforcement learning
- data mining
- network monitoring
- network intrusion
- feature extraction
- network security
- network resources
- traffic data
- knowledge discovery
- network traffic data
- detecting anomalous
- malicious traffic