A kernel-based nonparametric test for anomaly detection over line networks.
Shaofeng ZouYingbin LiangH. Vincent PoorPublished in: MLSP (2014)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- network traffic
- detecting anomalous
- one class support vector machines
- computer security
- computer networks
- unsupervised anomaly detection
- network anomaly detection
- behavior analysis
- unsupervised learning
- support vector machine
- detect anomalies
- negative selection algorithm
- social networks
- data sets
- kernel methods
- network security
- network structure
- normal behavior
- pairwise
- pattern recognition
- support vector
- data mining