Comparison of Supervised and Unsupervised Learning for Detecting Anomalies in Network Traffic.
Robert McAndrewStephen C. HayneHaonan WangPublished in: HICSS (2019)
Keyphrases
- network traffic
- anomaly detection
- detecting anomalies
- supervised and unsupervised learning
- unsupervised learning
- intrusion detection
- supervised learning
- intrusion detection system
- network intrusion detection
- semi supervised
- semi supervised learning
- feature selection
- data sets
- knowledge discovery
- dimensionality reduction
- long range dependence
- statistical learning
- data processing
- training data
- data mining