Detecting Anomalies in Network Traffic Using Maximum Entropy Estimation.
Yu GuAndrew McCallumDonald F. TowsleyPublished in: Internet Measurement Conference (2005)
Keyphrases
- maximum entropy
- network traffic
- anomaly detection
- detecting anomalies
- intrusion detection
- maximum entropy principle
- network security
- intrusion detection system
- detecting anomalous
- random fields
- network intrusion detection
- traffic data
- minimum cross entropy
- principle of maximum entropy
- transformation based learning
- internet traffic
- unsupervised learning
- conditional random fields
- parameter estimation
- iterative scaling
- data mining applications
- long range
- abnormal events
- graphical models
- active learning
- image segmentation
- normal traffic
- information retrieval
- data mining
- real world