Anomaly detection and classification using a metric for determining the significance of failures - Case study: mobile network management data from LTE network.
Robin Babujee JeromeKimmo HätönenPublished in: Neural Comput. Appl. (2017)
Keyphrases
- anomaly detection
- network management
- network traffic
- intrusion detection
- detect anomalies
- network resources
- data processing
- computer networks
- network intrusion
- data analysis
- network monitoring
- streaming data
- machine learning
- anomalous behavior
- normal behavior
- network anomaly detection
- information processing
- feature extraction
- network structure
- quality of service
- unsupervised learning
- computer systems
- data sources
- mobile devices
- feature space
- training data
- decision trees
- data mining