Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection.
Dominik MackoPatrik GoldschmidtPeter PistekDaniela ChudáPublished in: CoRR (2023)
Keyphrases
- supervised classification
- network anomaly detection
- anomaly detection
- network intrusion detection
- unsupervised learning
- unsupervised clustering
- supervised learning
- supervised classifiers
- unsupervised classification
- machine learning
- self organizing maps
- land cover classification
- land cover
- data sets
- learning process
- remotely sensed images
- intrusion detection
- semi supervised learning
- pairwise
- computer vision
- data mining