Anomaly detection in IP networks based on randomized subspace methods.
Maboud F. KalooraziRodrigo C. de LamarePublished in: ICASSP (2017)
Keyphrases
- anomaly detection
- ip networks
- subspace methods
- network security
- intrusion detection
- network traffic
- network management
- face recognition
- intrusion detection system
- quality of service
- linear discriminant analysis
- tcp ip
- principal component analysis
- communication networks
- mobile networks
- network resources
- ensemble methods
- unsupervised learning
- benchmark datasets
- lower dimensional
- network design
- support vector machine
- image processing
- computer vision
- detect anomalies
- data sets
- security policies
- prediction accuracy
- support vector
- learning algorithm
- data mining