Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams
Ethan W. DereszynskiThomas G. DietterichPublished in: CoRR (2012)
Keyphrases
- anomaly detection
- probabilistic model
- sensor data streams
- sensor data
- sensor readings
- graphical models
- data streams
- intrusion detection
- detecting anomalies
- network traffic
- expectation maximization
- intrusion detection system
- anomalous behavior
- detecting anomalous
- computer security
- one class support vector machines
- network intrusion detection
- unsupervised anomaly detection
- bayesian networks
- conditional random fields
- network anomaly detection
- unsupervised learning
- sensor networks
- network security
- network intrusion
- detect anomalies
- behavior analysis
- sliding window
- hidden variables
- support vector machine
- pattern recognition
- negative selection algorithm
- training data
- connectionist systems
- decision trees
- machine learning