Detecting Zero-Day Attacks under Concept Drift: An Online Unsupervised Threat Detection System.
Alessandra De PaolaSalvatore DragoPierluca FerraroGiuseppe Lo RePublished in: ITASEC (2024)
Keyphrases
- concept drift
- novelty detection
- change detection
- data streams
- streaming data
- drift detection
- non stationary
- data stream classification
- drifting concepts
- classification algorithm
- data distribution
- incremental clustering
- data stream mining
- data mining
- unsupervised learning
- batch learning
- detection algorithm
- concept descriptions
- stream clustering
- remote sensing
- supervised learning
- semi supervised
- image analysis
- decision trees
- data sets