Learning nonstationary models of normal network traffic for detecting novel attacks.
Matthew V. MahoneyPhilip K. ChanPublished in: KDD (2002)
Keyphrases
- non stationary
- network traffic
- long range dependence
- fractional brownian motion
- traffic analysis
- random fields
- autoregressive
- detecting anomalous
- anomaly detection
- network security
- learning algorithm
- supervised learning
- network intrusions
- reinforcement learning
- intrusion detection
- hidden markov models
- network traffic data
- malicious traffic