Network Anomaly Detection Based on Clustering of Sequence Patterns.
Sang-Kyun NohYongmin KimDongKook KimBongNam NohPublished in: ICCSA (2) (2006)
Keyphrases
- network anomaly detection
- sequence patterns
- anomaly detection
- self organizing maps
- k means
- clustering algorithm
- data points
- network intrusion detection
- unsupervised learning
- cluster analysis
- dna sequences
- database
- intrusion detection
- neural network
- data streams
- high dimensional
- spatio temporal
- sequence databases
- alert correlation