A hierarchical network intrusion detection model based on unsupervised clustering.
Yujie ZhuDezhi HanXinming YinPublished in: MEDES (2021)
Keyphrases
- network intrusion detection
- unsupervised clustering
- supervised classification
- anomaly detection
- intrusion detection
- network intrusion
- k means
- fraud detection
- network traffic
- image segmentation
- intrusion detection system
- semi supervised clustering
- clustering method
- clustering algorithm
- spectral clustering
- fuzzy c means
- euclidean distance
- real world
- model selection
- pairwise
- bayesian networks
- training data
- learning algorithm
- data mining