FeSA: Feature selection architecture for ransomware detection under concept drift.
Damien Warren FernandoNikos KomninosPublished in: Comput. Secur. (2022)
Keyphrases
- concept drift
- feature selection
- change detection
- data streams
- graph classification
- streaming data
- novelty detection
- drifting concepts
- non stationary
- incremental clustering
- ensemble classifier
- data stream classification
- drift detection
- text categorization
- data stream mining
- evolving data streams
- batch learning
- classification algorithm
- data distribution
- feature space
- concept descriptions
- multi task
- remote sensing
- unsupervised learning
- support vector