On the Use of SVMs to Detect Anomalies in a Stream of SIP Messages.
Raihana FerdousRenato Lo CignoAlessandro ZoratPublished in: ICMLA (1) (2012)
Keyphrases
- detect anomalies
- anomaly detection
- support vector
- data streams
- network traffic
- session initiation protocol
- kernel function
- structured learning
- real time
- support vector machine svm
- multi class
- intrusion detection
- feature selection
- generalization ability
- knn
- maximum margin
- support vectors
- sparse kernel
- svm classifier
- training support vector machines
- classification using support vector machines
- sliding window
- support vector machine
- machine learning
- kernel methods
- feature space
- training data
- radial basis function
- intrusion detection system
- data sets