Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory.
Romain FontugnePierre BorgnatPatrice AbryKensuke FukudaPublished in: TMA (2010)
Keyphrases
- graph theory
- network traffic
- graph theoretical
- anomaly detection
- social network analysis
- computer vision and pattern recognition
- graph theoretic
- decision trees
- automata theory
- weak classifiers
- support vector
- object detection
- intrusion detection
- complex networks
- graph based representations
- training data
- data mining applications
- detect anomalies
- traffic flow
- training set
- combinatorial optimization
- protein structure prediction
- object detectors
- feature set
- maximal cliques
- evolutionary algorithm
- document similarity
- graph properties
- pattern recognition
- cost function
- movement patterns
- maximum independent set
- feature extraction