Semi-unsupervised Machine Learning for Anomaly Detection in HTTP Traffic.
Rafal KozikMichal ChorasRafal RenkWitold HolubowiczPublished in: CORES (2015)
Keyphrases
- anomaly detection
- machine learning
- network traffic
- unsupervised learning
- unsupervised anomaly detection
- detect anomalies
- intrusion detection
- novelty detection
- supervised learning
- network anomaly detection
- detecting anomalies
- network intrusion detection
- normal traffic
- anomalous behavior
- intrusion detection system
- pattern recognition
- learning algorithm
- network security
- information extraction
- one class support vector machines
- text classification
- detecting anomalous
- malware detection
- behavior analysis
- reinforcement learning
- transfer learning
- traffic patterns
- feature selection
- neural network
- semi supervised
- computer networks
- knowledge discovery
- data sets
- cumulative sum
- computer vision
- clustering algorithm
- decision trees
- data analysis
- active learning
- network intrusion
- natural language processing
- computational intelligence
- model selection
- data mining
- traffic flow