SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection.
Xiaotong YuZiyan LuoLiqun QiYanwei XuPublished in: Neurocomputing (2021)
Keyphrases
- anomaly detection
- internet traffic
- network traffic
- tensor analysis
- intrusion detection
- traffic analysis
- intrusion detection system
- detecting anomalies
- network intrusion detection
- network security
- anomalous behavior
- detecting anomalous
- high order
- unsupervised anomaly detection
- computer networks
- detect anomalies
- behavior analysis
- network anomaly detection
- one class support vector machines
- negative selection algorithm
- connectionist systems
- unsupervised learning
- dimensionality reduction
- malware detection
- file sharing
- pattern recognition
- network intrusion
- supervised learning
- knowledge discovery
- active learning
- association rules