Alchemy: Stochastic Feature Regeneration for Malicious Network Traffic Classification.
Bo HuAtsutoshi KumagaiKazunori KamiyaKenji TakahashiDaniel DalekOla SöderströmKazuya OkadaYuji SekiyaAkihiro NakaoPublished in: COMPSAC (1) (2019)
Keyphrases
- network traffic
- malicious code
- feature vectors
- intrusion detection
- normal traffic
- anomaly detection
- network security
- network monitoring
- traffic analysis
- intrusion detection system
- traffic data
- pattern recognition
- computer networks
- supervised learning
- network bandwidth
- pairwise
- traffic volume
- decision trees
- internet traffic
- malicious traffic
- network intrusion detection
- network resources
- feature extraction
- machine learning
- network management
- model selection
- data management
- active learning
- training set
- network traffic data
- real world