Network traffic classification for anomaly detection fuzzy clustering based approach.
Julija AsmussGunars LauksPublished in: FSKD (2015)
Keyphrases
- anomaly detection
- network traffic
- fuzzy clustering
- clustering analysis
- intrusion detection
- network intrusion detection
- intrusion detection system
- fuzzy c means
- detecting anomalous
- computer networks
- fuzzy clustering algorithm
- anomalous behavior
- network security
- fuzzy clustering algorithms
- detect anomalies
- one class support vector machines
- network intrusion
- traffic data
- unsupervised learning
- detecting anomalies
- pattern recognition
- membership functions
- feature vectors
- pattern classification
- decision trees
- text classification
- feature space
- clustering algorithm
- cluster analysis
- machine learning
- maximum entropy
- training set
- feature extraction
- supervised learning
- information systems
- artificial intelligence