Network traffic anomaly detection using clustering techniques and performance comparison.
Duo LiuChung-Horng LungIoannis LambadarisNabil SeddighPublished in: CCECE (2013)
Keyphrases
- anomaly detection
- network traffic
- intrusion detection
- intrusion detection system
- network intrusion detection
- detecting anomalous
- anomalous behavior
- unsupervised learning
- detecting anomalies
- traffic data
- computer networks
- traffic analysis
- one class support vector machines
- network security
- data sets
- network anomaly detection
- streaming data
- internet traffic
- traffic patterns
- clustering algorithm
- detect anomalies
- information systems
- computer vision
- negative selection algorithm
- semi supervised
- hidden markov models
- pattern recognition
- training data
- traffic engineering
- databases