Particle Filtering as a Modeling Tool for Anomaly Detection in Networks.
Ibrahima GueyeJoseph NdongPublished in: CompleNet (2016)
Keyphrases
- anomaly detection
- particle filtering
- modeling tool
- particle filter
- visual tracking
- intrusion detection
- network intrusion detection
- object tracking
- anomalous behavior
- bayesian filtering
- detecting anomalies
- appearance model
- mean shift
- network anomaly detection
- kalman filter
- network traffic
- detect anomalies
- human motion
- negative selection algorithm
- one class support vector machines
- unsupervised learning
- cumulative sum
- intrusion detection system
- action recognition
- video sequences
- data sets
- text classification
- feature space
- object recognition